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Top 10 Best Phone Answering Service Software of 2026

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Communication Media

Top 10 Best Phone Answering Service Software of 2026

This roundup compares phone answering service software options and tradeoffs for teams, with examples like Twilio Flex for routing and call handling.

21 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

Phone answering service software routes inbound calls, provisions numbers and extensions, and automates responses using call flows, recordings, and agent or AI handling. This comparison helps analysts and operators weigh availability, call routing depth, integration and API fit, and operational controls such as monitoring, configuration governance, and auditability.

Grasshopper is the best pick for small teams that need dependable live coverage and routing with light automation because its virtual receptionist workflows pair business-hours overflow rules with branded call handling and message intake, while Twilio Flex fits contact centers that want programmable phone answering since its component-based agent workspace and workflow customization run on Twilio’s programmable voice.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Grasshopper

Virtual receptionist workflows pair live answering with branded call handling and message intake.

Best for: Fits when small teams need dependable live coverage and routing with light automation.

2

Twilio Flex

Editor pick

Flex’s component-based agent UI and workflow customization built on Twilio’s programmable voice and task handling.

Best for: Fits when contact centers need programmable phone answering workflows and custom agent experiences.

3

Aircall

Editor pick

API and webhook events that carry call outcomes for workflow automation beyond the call UI.

Best for: Fits when routing accuracy and call-event integration drive lead handling and coverage.

Comparison Table

1
GrasshopperBest overall
SMB
9.4/10
Overall
2
API-first
8.9/10
Overall
3
8.8/10
Overall
4
API-first
8.4/10
Overall
5
8.0/10
Overall
6
vertical specialist
7.8/10
Overall
7
vertical specialist
7.6/10
Overall
8
7.0/10
Overall
9
6.8/10
Overall
10
API-first
6.7/10
Overall
#1

Grasshopper

SMB

Virtual phone system software provides business numbers, call forwarding, extensions, and voicemail.

9.4/10
Overall
Features9.4/10
Ease of Use9.3/10
Value9.5/10
Standout feature

Virtual receptionist workflows pair live answering with branded call handling and message intake.

Grasshopper covers core phone answering workflows such as live call handling, scripted caller interactions, and message intake when agents are unavailable. Business-hours rules and after-hours routing let teams send calls to voicemail, a different destination, or a different queue path. Configuration typically happens through a web admin where users set routing destinations and record how messages should be captured.

A tradeoff shows up when more advanced contact center needs require deep IVR call flow authoring or high-volume queue analytics. Grasshopper fits teams that need consistent call coverage with predictable routing and message follow-up, like appointment-focused services and sales teams that depend on quick response times.

Pros
  • +Live call answering with business-hours and overflow routing rules
  • +Web admin flow makes routing and message handling straightforward
  • +CRM and calendar integrations support lead and appointment capture
  • +Shared numbers reduce missed calls during agent absences
Cons
  • –IVR scripting depth can feel limited versus contact-center platforms
  • –Advanced queue management and reporting need more than basic features
Use scenarios
  • Service businesses

    After-hours coverage for appointments

    Fewer missed appointment requests

  • Sales teams

    Lead qualification via intake

    Faster response to leads

Show 1 more scenario
  • Support desks

    Consistent routing during staffing gaps

    More calls handled end-to-end

    Uses routing destinations and overflow paths to keep callers directed when agents are offline.

Best for: Fits when small teams need dependable live coverage and routing with light automation.

#2

Twilio Flex

API-first

Programmable contact center software with agent monitoring, recording, analytics, and APIs for custom workflows.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Flex’s component-based agent UI and workflow customization built on Twilio’s programmable voice and task handling.

Twilio Flex fits teams that need phone answering behavior shaped by code and configuration, not a fixed “answering line” UI. Inbound call routing can be implemented with Twilio voice primitives and tied to Flex workspaces, which helps engineering coordinate availability rules and queue behavior with agent handling. Browser-based agent access is a core fit signal for distributed teams that want operators working in a web workspace.

A key tradeoff is that achieving a polished operator experience requires more build work than packaged receptionist tools. For usage, Flex works best when the answering workflow must coordinate voice with messaging in one agent workspace, or when agent calling needs to be deployed to a web softphone environment with custom handling steps.

Pros
  • +API-first architecture for custom agent console and call handling logic
  • +Browser-based agent workspace supports web softphone calling
  • +Configurable workflow layer for inbound queue routing
  • +Shared workspace supports coordinated voice and messaging workflows
Cons
  • –Higher implementation effort than packaged phone answering interfaces
  • –Complexity increases when governance needs tight operational guardrails
Use scenarios
  • Operations teams modernizing contact centers

    Replace fixed receptionist agent interface

    More configurable agent workflow layer

  • Distributed contact center managers

    Deploy browser-based answering agents

    Agents answer from the browser

Show 2 more scenarios
  • Inbound call operations teams

    Route inbound calls by queue logic

    Inbound calls follow routing rules

    Teams configure inbound routing behavior so calls follow operational needs and availability.

  • Omnichannel support and sales teams

    Coordinate voice and messaging intake

    Consistent handling across channels

    Teams build agent workflows that handle supported interaction types in a shared workspace.

Best for: Fits when contact centers need programmable phone answering workflows and custom agent experiences.

#3

Aircall

SMB

Cloud phone software provides business calling, call routing, recording, and CRM integrations.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

API and webhook events that carry call outcomes for workflow automation beyond the call UI.

Aircall is built around call center and sales phone operations with routing controls that fit hunt groups and overflow behavior when teams miss calls. Admins can configure call flows, agent assignments, and after-hours handling so callers reach the right destination without manual transfer. The platform publishes an API and webhook events for call state changes, dispositions, and recordings metadata so downstream systems can act on live activity.

A practical tradeoff is that deeper workflow automation often requires integration work with a CRM or ticketing system rather than relying only on in-product rules. Aircall works well when routing accuracy and disposition capture matter, such as lead qualification with warm transfer into specific teams. It also fits teams that need call analytics for both inbound coverage and sales outreach productivity in one admin view.

Pros
  • +Configurable inbound routing with agent availability and overflow behavior
  • +Call event webhooks and API support CRM sync and automated follow-ups
  • +Central reporting for call outcomes and agent activity
  • +Supports SIP trunking for predictable VoIP deployment
Cons
  • –Advanced automation depends on external CRM or workflow connections
  • –Routing configuration can become complex across many teams and rules
  • –Disposition capture quality depends on consistent agent workflow use
  • –Operational tuning requires periodic attention as queues and staffing change
Use scenarios
  • Sales operations teams

    Route qualified leads to the right sellers

    Faster lead response

  • Customer support managers

    Ensure live coverage with overflow rules

    Higher answered-call rate

Show 2 more scenarios
  • Contact center administrators

    Monitor agent performance by call outcome

    Improved staffing decisions

    Reporting summarizes activity and outcomes to support coaching and routing adjustments.

  • RevOps and IT teams

    Sync call activity to CRM workflows

    Less manual data entry

    API integrations keep call events aligned with lead records, tickets, and calendar tools.

Best for: Fits when routing accuracy and call-event integration drive lead handling and coverage.

#4

Retell AI

API-first

Voice AI infrastructure lets developers create conversational phone agents for inbound and outbound calls.

8.4/10
Overall
Features8.4/10
Ease of Use8.5/10
Value8.3/10
Standout feature

API-driven conversational call automation that sends structured call events to external systems in real time.

Retell AI runs an AI voice agent that handles inbound calls and routes captured intent into structured actions through its API. It supports call flows built for live conversations, including appointment workflows and lead intake that continue after the call via outbound messaging.

Pros
  • +Programmatic call handling with webhooks for intents, transcripts, and dispositions
  • +Conversation-driven lead intake that can trigger downstream automation immediately
  • +Extensible tools for connecting call outcomes to CRM and scheduling workflows
  • +Supports call recording and transcription to support review and QA loops
Cons
  • –Operational governance requires engineering discipline for consistent agent behavior
  • –Not a drop-in replacement for hunt-group style availability rules without build work
Use scenarios
  • Operations and customer support teams

    Automate inbound call questions and routing

    Calls handled consistently

  • Developers and product teams

    Trigger actions during live call

    Calls drive automated workflows

Show 2 more scenarios
  • Support and service operations teams

    Cover after-hours call overflow

    After-hours requests captured

    Automated handling outside staffed hours captures needs for later follow-up.

  • Service business operations teams

    Collect scheduling intent by phone

    Caller scheduling intent captured

    The agent asks for relevant details and guides callers through scheduling or callback requests.

Best for: Fits when teams need AI-led call answering that triggers structured CRM and scheduling actions.

#5

Goodcall

SMB

AI phone agents answer calls, qualify leads, and handle routine customer questions.

8.0/10
Overall
Features8.0/10
Ease of Use8.0/10
Value8.0/10
Standout feature

Agent-assisted transfers with structured message intake designed for consistent lead follow-up across business-hours and overflow calls.

Goodcall pairs live call answering with integrations that help route callers into business workflows without rebuilding front-line processes. The service supports call handling that records caller context, transfers to the right party, and captures structured message intake for follow-up.

Pros
  • +Live agents handle calls with scripted intake and consistent disposition capture
  • +Integration options reduce manual transcription-to-record workflows
  • +Availability rules support business-hours coverage and clear after-hours routing
  • +Warm transfer workflows reduce time-to-right-person for repeat callers
Cons
  • –Advanced call routing logic depends on upstream telephony configuration
  • –Complex multi-line coverage changes require careful governance of answering rules
Use scenarios
  • Small businesses with limited front-desk

    Replace receptionist for routine inbound calls

    Fewer routine requests missed

  • Appointment-based service businesses

    Convert inbound calls into bookings

    Fewer manual first contacts

Show 2 more scenarios
  • Local sales and inbound support teams

    Qualify inbound leads via structured questions

    More consistent lead context

    The service gathers qualification details through phone intake before routing for follow-up.

  • Support teams during call surges

    Handle overflow when lines are busy

    Peak calls less likely missed

    Goodcall captures and routes calls when internal staff or primary lines cannot answer.

Best for: Fits when phone coverage must feed CRM and routing decisions with low manual work for sales or support.

#6

Rosie

vertical specialist

An AI receptionist answers calls, captures leads, and supports appointment-based businesses.

7.8/10
Overall
Features7.8/10
Ease of Use7.7/10
Value7.9/10
Standout feature

Caller outcome tracking that feeds message intake into SMS and scheduling actions without manual re-entry.

Rosie is a phone answering service software system built to route inbound calls to a live answering team with configurable call handling rules. The workflow is centered on call routing, message intake, and disposition so sales and support teams can turn missed calls into trackable next steps.

Pros
  • +Configurable live call routing rules for different business-hours and overflow scenarios
  • +Message intake captures caller details for later disposition without losing context
  • +SMS follow-up supports automated next steps after missed or overflow calls
  • +Calendar-aware scheduling flows help move callers into booked appointments
Cons
  • –Advanced routing logic takes more setup time than basic answer-assistant flows
  • –CRM synchronization coverage can be limited when teams need custom field mapping
  • –Callback scheduling requires consistent calendar availability definitions to avoid conflicts
  • –Reporting depth for call handling outcomes is less granular than what call-center suites offer
Use scenarios
  • Sales and support teams

    Route missed calls to trackable next steps

    Missed calls become actionable

  • Customer support operations

    Send SMS follow-up after call intake

    Faster caller follow-up

Show 2 more scenarios
  • Service teams needing callbacks

    Schedule callbacks from inbound interactions

    Reduced manual call chasing

    Rosie supports callback scheduling using intake captured during the inbound call workflow.

  • CRM and help desk admins

    Push call outcomes and schedule details

    Intake lands in right systems

    Integrations move call outcomes and scheduling details into existing CRM and calendar workflows.

Best for: Fits when sales and support teams need live answering with routing rules and automated SMS or scheduling follow-up.

#7

Numa

vertical specialist

AI customer communication software handles calls and messages for local businesses.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Appointment scheduling driven from inbound call intake with captured call disposition for cleaner downstream follow-up.

Numa routes inbound calls to live agents through configurable business-hour and after-hours rules, with message intake feeding follow-up workflows. The system supports appointment scheduling, caller call summaries, and call disposition capture so leads and support requests are categorized before agent handoff.

Pros
  • +Business-hours and overflow call routing reduce unanswered sales calls
  • +Appointment scheduling workflows connect intake to booked outcomes
  • +Call summaries and dispositions help agents classify every interaction
  • +CRM and calendar integrations reduce manual data entry after calls
Cons
  • –Complex routing rules take time to model and test
  • –Advanced workflows rely on configuration rather than self-serve templates
  • –Reporting granularity lags behind specialized contact-center suites
  • –Some telephony features depend on correct SIP and number setup
Use scenarios
  • Lead and support intake teams

    Categorize calls before agent handoff

    Better organized intake

  • Service businesses scheduling teams

    Book appointments during inbound calls

    Appointments booked via phone

Show 2 more scenarios
  • Contact center operations managers

    Review inbound call outcomes and summaries

    Clear visibility into outcomes

    Managers can use reporting to connect call outcomes to inbound traffic and queue behavior.

  • Teams with multiple VoIP lines

    Manage hosted number coverage rules

    Coverage aligned to schedules

    Numa administration includes number management for VoIP lines with business-hour and after-hours routing.

Best for: Fits when sales and support teams need live answering with rule-based coverage and structured appointment intake.

#8

CloudTalk

SMB

Cloud call-center software provides inbound calling, routing, recording, and analytics.

7.0/10
Overall
Features7.0/10
Ease of Use7.0/10
Value7.0/10
Standout feature

Queue-based call routing that ties number availability rules to live operator workflows.

CloudTalk focuses on programmable call routing and operator-led live answering for inbound coverage. Its call flow configuration connects phone numbers to answering teams and scripts while tracking call outcomes for later review.

Pros
  • +Routing rules can match callers to specific answering queues
  • +Live answering tools support call scripting during transfers
  • +CRM and calendar integrations reduce manual follow-up work
  • +Call analytics help review disposition and coverage performance
Cons
  • –Complex routing requires careful configuration and ongoing governance
  • –Reporting depth is more operational than audit-focused for compliance teams
  • –Warm transfer and disposition workflows depend on consistent operator usage
  • –Advanced automation needs tighter process design than basic auto-attendants
Use scenarios
  • International sales and support teams

    Maintain hosted phone presence by region

    Regional coverage maintained

  • Businesses using shared phone lines

    Collect caller choices with call menus

    Less manual routing work

Show 2 more scenarios
  • Contact center managers

    Measure queue and agent performance

    Performance visibility improved

    Operational reports cover queue behavior, agent states, and conversation outcomes.

  • Sales teams running outreach

    Perform structured outbound calls with controls

    Outreach runs faster

    Sales reps use browser-based dialing and power-dialing workflows with shared team calling controls.

Best for: Fits when sales or support teams need live answering with configurable routing and measurable outcomes.

#9

My AI Front Desk

SMB

An AI receptionist answers calls, books appointments, and manages common customer interactions.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Conversational call intake that produces structured follow-up data and supports fast handoff to live agents.

My AI Front Desk is an AI-driven virtual receptionist that focuses on phone answering and customer interaction capture for small teams. Call handling is built around automated conversational intake, then routes results into a usable follow-up workflow.

Pros
  • +AI intake reduces missed calls by handling first-contact questions automatically
  • +Human handoff workflow supports coverage when callers need a decision-maker
  • +Message capture supports consistent call disposition for later follow-up
  • +Business-hours and after-hours routing rules reduce manual call monitoring
Cons
  • –Routing depth for multi-team call distribution can be limited versus enterprise systems
  • –Caller screening outcomes may need careful configuration to avoid misclassification
  • –CRM and help desk linkage depends on supported connectors and mapping
  • –Scripting complex qualification flows can require more iteration than rule-only IVR
Use scenarios
  • Small teams with shared coverage

    Route business-hour calls without rigid menus

    Callers reach relevant outcome

  • Customer service and front-desk teams

    Answer common questions and escalate exceptions

    Consistent answers for routines

Show 2 more scenarios
  • Small offices with moderate call volume

    Handle overflow when staff are unavailable

    Fewer callers wait or retry

    It answers common calls during busy periods and transfers cases needing human attention.

  • Small offices booking appointments

    Capture appointment requests for scheduling

    More requests handled automatically

    The receptionist captures booking or change requests and passes them to scheduling workflows.

Best for: Fits when a small team needs AI-first answering with clear handoff and consistent call notes for follow-up.

#10

Vapi

API-first

Voice AI developer infrastructure supports phone agents, call handling, and custom conversational workflows.

6.7/10
Overall
Features6.7/10
Ease of Use6.7/10
Value6.7/10
Standout feature

Agent tool-calling during an active call enables direct lead qualification and backend actions without separate IVR scripting.

Vapi is an AI voice agent system used for phone answering workflows where the agent handles inbound calls, captures intent, and triggers next steps through integrations. Core capabilities include call routing to an agent via programmable endpoints, conversational call scripting with stateful handoffs, and support for tools that can place calls to backends for lead intake and disposition.

Pros
  • +Programmable voice agent behavior through an API-driven call flow
  • +Tool calls let the agent trigger external systems during the conversation
  • +Event hooks provide structured visibility into call runs and outcomes
  • +Stateful handoff patterns support transitioning to human or other flows
Cons
  • –Live answering accuracy depends on training and prompt engineering discipline
  • –Deep CRM and calendar workflows require custom integration wiring
  • –Admin controls for routing roles and audit trails are not as mature as call-center suites
  • –Sustained throughput can require careful concurrency planning and endpoint hardening
Use scenarios
  • Support and operations teams

    Run conversational inbound phone answering

    More consistent first-line handling

  • Service businesses scheduling teams

    Book appointments with confirmed details

    Automated booking completed

Show 2 more scenarios
  • Service desks and administrative teams

    Screen requests and classify before routing

    Reduced manual triage

    It collects and classifies inbound requests before sending them to the right queue or process.

  • Sales and revenue teams

    Qualify inbound callers for routing

    Structured lead intake

    The agent asks qualification questions, captures details, and routes promising callers to the right team.

Best for: Fits when teams want AI-led inbound call answering with custom automation and integration-driven disposition.

Conclusion

After evaluating 10 phone answering service software, Grasshopper stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Grasshopper

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Phone Answering Service Software

How do Aircall and Twilio differ in how call outcomes get sent into other systems?
Aircall sends call events into CRMs through an API and webhooks that include outcomes tied to the call record. Twilio sends voice and call details via event-driven webhooks so teams can build custom post-call actions using their own data model and workflow logic.
When should a call center choose Grasshopper over CloudTalk for live coverage?
Grasshopper fits small teams that need live call answering with branded numbers and a virtual receptionist workflow. CloudTalk fits teams that need queue-based call routing with more operator workflow control across active numbers and configurable call flows.
Which tool supports custom conversational answering logic without relying on a fixed receptionist script?
Twilio supports TwiML-driven voice control so inbound calls can execute dynamic answering and transfer logic per API instructions. Retell AI and Vapi can also automate live conversations, but Twilio centers programmability where the call behavior is defined by developer logic.
What breaks if inbound calls require appointment scheduling from the call itself?
Rosie relies on routing and message intake with follow-up via SMS and callback scheduling, so it does not inherently schedule appointments as a core intake engine. Numa can schedule appointments from inbound call intake and capture call disposition so downstream teams receive categorized intent tied to the booking context.
How does RBAC and admin control typically show up across Grasshopper and CloudTalk?
Grasshopper includes an admin control center for managing shared numbers, routing destinations, and user access across lines. CloudTalk provides multi-user administration with management tools for active numbers plus operational reporting for teams that supervise queue routing.
Which platforms expose integration hooks for automation during or after the call?
Vapi and Retell AI expose API-driven event patterns so external systems receive structured call events in real time and after the agent run. Aircall and CloudTalk also integrate via API and CRM workflows, but their automation patterns more often start from call events and queue outcomes rather than a programmable AI agent run.
Where does call analytics fall short when only a basic call log is available?
Aircall provides operational reporting across call performance and agent activity for teams managing inbound and outbound contact. Twilio supports analytics by consuming streaming and call detail events so teams can calculate metrics from raw event data, while a basic log cannot reproduce those derived signals.
What security and access controls should be verified for SSO and account governance?
Twilio and Vapi require account-level API access management because integrations use developer credentials and event delivery endpoints. Aircall and CloudTalk require admin governance over user access to numbers and routing behavior, and audit log review matters for changes that affect call routing outcomes.
How should teams plan data migration for existing caller notes and disposition fields?
Goodcall uses structured message intake tied to call handling, so migrating existing disposition categories and required intake fields must match its capture schema for consistent routing and follow-up. Rosie and Numa also depend on structured disposition capture, so migration should map historical outcomes into the destination workflow that receives SMS follow-up or appointment details.
When does Numa outperform an AI receptionist workflow like My AI Front Desk for lead qualification?
Numa prioritizes rule-based coverage with structured appointment intake and call disposition capture before agent handoff. My AI Front Desk focuses on AI-driven conversational intake with structured follow-up data and fast handoff, which can miss workflows that depend on appointment routing rules driven by business-hours and overflow coverage logic like Numa’s.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Phone Answering Service Software

We see the biggest separation in phone answering service software comes from how well it matches your routing and coverage needs, how controllable the setup is during real call spikes, and how reliably it records what happened on each call. Look closely at Call handling rules, Integration depth, and Audit and reporting.

Call handling rules and schedules

Why it matters

Call handling rules and schedules decide who gets answered when—during business hours, after hours, holidays, and overflow. If the rules are limited or hard to change, the service you tested won’t match live operations.

How to check

Ask for a walkthrough that shows at least one schedule change and one overflow scenario. Then test a single call by matching a time window you control (e.g., “tonight after 6”) and confirm the intended outcome.

Integration depth via API and automation

Why it matters

Integration depth via API and automation determines whether the answering flow can pull context and send outcomes back without manual copy/paste. For this category, shallow integrations often show up as missing fields or delayed updates.

How to check

Request a live demo of an inbound call that triggers an API action or automation (for example, logging the call and pushing key fields). Ask what the automation can read and write, and whether there’s a sandbox for testing your workflows.

Number and call session configuration

Why it matters

Number and call session configuration affects how many inbound paths you can manage and how consistently sessions behave across teams. Misalignment here creates wrong destinations or inconsistent caller experience.

How to check

Ask to see how they configure multiple inbound lines or numbers and how routing targets are set. Then verify on demo calls that the right destination and handling behavior applies per number.

Agent workflow and status handoffs

Why it matters

Agent workflow and status handoffs matter when calls need to be transferred, escalated, or ended with the right context. If agents can’t maintain structured notes or statuses, outcomes become hard to audit.

How to check

Ask what the answering side sees during a call and what fields agents must complete afterward. Run a test with a scripted request and confirm the captured outcome stays attached to the call record.

Audit log and reporting for calls

Why it matters

Audit log and reporting for calls lets you verify what happened, when changes were made, and which rule was applied. Without it, you can’t troubleshoot missed calls or prove consistency after updates.

How to check

In the demo, request a report that shows call outcomes and a way to filter by time window and handling path. Then ask how administrators review configuration changes—look for an audit log view.

Red flags

  • Rules can’t be adjusted without breaking the call flow
  • API demos don’t show real data coming in and out
  • Call outcomes can’t be traced back to specific handling rules

Fit by situation

  • If we need strict coverage across business hours, after-hours, and special dates, prioritize Call handling rules and schedules.
  • If we rely on internal systems to capture caller details automatically, prioritize Integration depth via API and automation.
  • If we plan to troubleshoot misses and prove consistency after changes, prioritize Audit log and reporting for calls.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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