Agentic Index
FurtherAI vs Mastery AI (2026)
FurtherAI last verified ·Mastery AI last verified
Both automate insurance back office work for carriers, MGAs and brokers, with similar scope. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
FurtherAI is a domain specific workspace covering submission intake, policy comparison, underwriting audits and claims, with an orchestration layer over existing carrier systems and multi model routing, a16z backed with a top ten global carrier and the largest US MGA as customers. Mastery runs autonomous agents across submission intake, underwriting, peer review, renewal and claims with regulated first, on premises deployment. Deployment is the cleanest difference, a cloud workspace against on premises.
On the Agentic Index bring your own model ranking, Mastery AI clears the bar and FurtherAI does not. Mastery AI documents model flexibility and routing in full; FurtherAI does not. 213 of the 556 platforms it grades clear it. See the bring your own model ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. FurtherAI and Mastery AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose FurtherAI if
- Named reference customers at a top ten carrier and the largest US MGA reduce your risk.
- Multi model routing and an orchestration layer over existing systems fit your architecture.
- Policy comparison and underwriting audits are the specific workflows you need.
Choose Mastery AI if
- On premises deployment is a hard requirement from your regulator or your board.
- Peer review and renewal are in scope alongside intake and claims.
- Regulated first design, built for on premises from the start rather than adapted to it.
| Feature | F FurtherAI |
M Mastery AI |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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FurtherAIIntegrations & Tool Calling Through the Connectors library, every FurtherAI workflow reads from and writes to the customer's existing systems directly. Enrichment sources layer third party risk and compliance data on top of internal records. Each connector's scope (the data it reaches, the actions it can take and its authentication) is reviewed before it ships, and admins control which connectors are active. SourceFurtherAI, furtherai.com/blog/furtherai-launches-connectors-one-workspace-every-insurance-systemread 2026-09-07 |
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Mastery AIIntegrations & Tool Calling Broker submissions arrive through a native Outlook intake that extracts PDF and DOCX files. Outlook is the one integration Mastery AI names. The platform also has secure data connectors, but they are not named. Mastery AI publishes no connector catalog and names no action into outside systems and no custom tool framework. SourceMastery AI, masteryai.ioread 2026-09-06 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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FurtherAIWorkflow Orchestration The Multi-Agent System coordinates specialized agents end to end across an insurance workflow. A dedicated agent preps a submission with the scope an underwriting assistant would have, then hands off to the next agent in sequence or to the underwriter whose judgment the next decision requires. The context travels with the work. SourceFurtherAI, furtherai.com/blog/furtherai-launches-multi-agent-system-running-the-full-insurance-relayread 2026-09-07 |
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Mastery AIWorkflow Orchestration Underwriting orchestration runs agents in sequential and parallel stages across the insurance lifecycle, from submission intake through peer review, negotiation, renewal and claims triage. The agents carry multi step work from one stage to the next. Mastery AI names no builder that customers use to design their own workflows. SourceMastery AI, masteryai.ioread 2026-09-06 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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FurtherAITriggers & Channel Coverage Agents start work as submissions, claims and FNOL files arrive, forwarded into intake and processed around the clock, and the connectors let workflows read from the customer's systems. Customers cannot configure a schedule, webhook or other event trigger. SourceFurtherAI, furtherai.com and furtherai.com/blog/furtherai-launches-connectors-one-workspace-every-insurance-systemread 2026-09-07 |
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Mastery AITriggers & Channel Coverage Work starts when a broker submission arrives in Outlook, and renewals run automatically. Mastery AI names no trigger configuration, webhook or schedule settings. SourceMastery AI, masteryai.ioread 2026-09-06 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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FurtherAIKnowledge Grounding & RAG Agents clear submissions against the customer's underwriting guidelines and appetite, and Guideline Checks is a named workflow. The guidelines corpus is loaded once and checked against every submission, and it persists and stays queryable across runs. One customer describes the platform as data centralization with an intelligence layer that puts information at underwriters' fingertips. SourceFurtherAI, furtherai.com and furtherai.com/blog/furtherai-launches-multi-agent-system-running-the-full-insurance-relayread 2026-09-07 |
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Mastery AIKnowledge Grounding & RAG Secure data connectors with RAG and fine tuning over the customer's data ground the agents in retrieval. Mastery AI does not say whether a maintained index or knowledge base sits behind them, or how long its contents persist. SourceMastery AI, masteryai.ioread 2026-09-06 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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FurtherAIMemory & State Persistence Context travels with the work between agents in a sequence, tied to the case in flight. There is no memory layer for each user, team or workflow, and no session state a customer can find and delete. SourceFurtherAI, furtherai.com/blog/furtherai-launches-multi-agent-system-running-the-full-insurance-relayread 2026-09-07 |
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Mastery AIMemory & State Persistence Mastery AI describes no memory for its agents and no session state. SourceMastery AI, masteryai.ioread 2026-09-06 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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FurtherAIHuman Oversight & Guardrails The workspace pauses for human review inside workflows. When a decision needs a human, the agent brings it to the person who owns it, with the context they need, presented where they need it, and the underwriter's judgment gates the sequence. Triage recommendations are drafted with the reasoning laid out for review instead of being executed. SourceFurtherAI, furtherai.com/blog/furtherai-launches-multi-agent-system-running-the-full-insurance-relay and furtherai.com/blog/building-the-ai-workspace-for-insuranceread 2026-09-07 |
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Mastery AIHuman Oversight & Guardrails The prebuilt workflows have manual stop gates at negotiation, peer review, renewal and feedback. At each of those stages a person approves before the agents proceed. The gates are built into the platform itself. SourceMastery AI, masteryai.ioread 2026-09-06 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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FurtherAISecurity, Identity & Governance SOC 2 Type II, which FurtherAI calls independently audited controls, sits alongside ISO 27001, GDPR and HIPAA, and FurtherAI has a Vanta security portal. Authentication uses SSO, with role based permissions, audit logs, customer managed encryption keys, and retention and deletion that the customer controls. SourceFurtherAI, furtherai.com/securityread 2026-09-07 |
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Mastery AISecurity, Identity & Governance The company calls itself SOC 2 aligned and HIPAA ready and claims no SOC 2 report or other attestation. Its named defenses, prompt injection defense, DLP and model isolation, protect the platform itself. No access controls for the customer's users are named. Sourcemasteryai.ioread 2026-09-06 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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FurtherAIObservability & Auditability Audit logs sit among the access controls, alongside SSO and role based permissions. Each triage recommendation is drafted with the reasoning laid out for the person reviewing it, so each decision can be traced. There is no runtime trail of agent actions that a customer can open to see why an agent did what it did across a workflow run. SourceFurtherAI, furtherai.com/securityread 2026-09-07 |
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Mastery AIObservability & Auditability Every workflow runs with full audit trails, Mastery AI says, and the claims workflow produces adjuster ready summaries. Mastery AI names no audit log view, run trace or per step provenance. SourceMastery AI, masteryai.ioread 2026-09-06 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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FurtherAIDeployment & Data Residency The customer keeps full control over its data, deciding what gets uploaded, how long it is kept and where it lives, with customer managed encryption keys. Single tenant deployment is offered as well. Even so, there is no region list, no way to pick a location and no option to run in the customer's own environment. SourceFurtherAI, furtherai.com/securityread 2026-09-07 |
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Mastery AIDeployment & Data Residency Deployment can be on premises, in a private cloud on AWS, Azure or GCP, hybrid, or air gapped. Policyholder and broker data never leaves the customer's environment. SourceMastery AI, masteryai.ioread 2026-09-06 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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FurtherAIPrebuilt Agents, Templates & Packs Customers choose from a named set of prebuilt workflows. They are Submission Intake, Submission Processing, Policy Check and Compare, Underwriting Audit, Claims Intake, FNOL, SOV Mapping, Contract Analysis, Authority Check, Tower Analysis, Bind Order Verification, Cyber Analysis and Guideline Checks. Most partners start with one workflow and expand from there, and case studies show customers adopting a single workflow. Each workflow does its own job when selected, and forward deployed engineers configure them during deployment. SourceFurtherAI, furtherai.com and furtherai.com/blog/building-the-ai-workspace-for-insuranceread 2026-09-07 |
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Mastery AIPrebuilt Agents, Templates & Packs Carriers can adopt prebuilt insurance workflows as they are. These cover Outlook submission intake with extraction, underwriting orchestration, broker negotiation drafts with automated renewal, risk exposure scoring by zip code, and claims triage with adjuster ready summaries. Prebuilt agents for regulated industries come with them. There is no published catalog page. SourceMastery AI, masteryai.ioread 2026-09-06 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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FurtherAIModel Flexibility & Routing Each workflow step routes across OpenAI, Anthropic and other providers, using whichever delivers the best outcome. FurtherAI says its moat is the workflow engine, not the underlying model, and it works with more than one provider, OpenAI among them. FurtherAI decides the routing, and customers and admins cannot control the model. SourceFurtherAI, furtherai.com/blog/building-the-ai-workspace-for-insurance and furtherai.com/blog/furtherai-x-openai-improving-ai-agents-for-insuranceread 2026-09-07 |
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Mastery AIModel Flexibility & Routing A multi model orchestrator supports bring your own model (BYOM). The named default core is Llama 4 Maverick 17B, which deploys in the customer's own environment. No per request model selector is named. SourceMastery AI, masteryai.ioread 2026-09-06 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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FurtherAIAPIs, SDKs & MCP Extensibility There is no API, SDK or MCP server for calling FurtherAI's own platform from outside. The connectors run the other way, with FurtherAI's workflows reading from and writing to the customer's systems. Customers can also buy FurtherAI through Microsoft Marketplace. SourceFurtherAI, furtherai.com/blog/furtherai-launches-connectors-one-workspace-every-insurance-systemread 2026-09-07 |
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Mastery AIAPIs, SDKs & MCP Extensibility No API, SDK or MCP server is named, and no developer subdomain is published. Sourcemasteryai.ioread 2026-09-06 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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FurtherAITesting, Debugging & Optimization Customers get no harness, scored test cases, quality gate or optimization loop over their own deployment. FurtherAI's engineers stress test extraction against internal benchmarks of dense insurance documents, including work with OpenAI on 900 page loss runs, and the improvements roll out to customers with no action required. FurtherAI publishes a 95 percent accuracy figure as a marketing benchmark, which customers do not run themselves. SourceFurtherAI, furtherai.com/blog/furtherai-x-openai-improving-ai-agents-for-insuranceread 2026-09-07 |
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Mastery AITesting, Debugging & Optimization In the peer review stage, a person checks each output before the work moves on. Mastery AI names no test harness, test cases, evaluation dashboard or release gate for the workflows. SourceMastery AI, masteryai.ioread 2026-09-06 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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FurtherAIBrowser & Computer Use There is no run time browser, fetch tool or computer control. Every workflow reaches the customer's systems through the connector library, reading and writing directly. Records are also enriched with third party and web data. The third party data comes from data providers, and FurtherAI names no tool for gathering the web data. SourceFurtherAI, furtherai.com/blog/furtherai-launches-connectors-one-workspace-every-insurance-systemread 2026-09-07 |
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Mastery AIBrowser & Computer Use Agents take work from Outlook submissions and document extraction and return drafts, scores and summaries inside the platform. Mastery AI names no browser, desktop or computer control. SourceMastery AI, masteryai.ioread 2026-09-06 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | F FurtherAI |
M Mastery AI |
|---|---|---|
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Entry price Lowest public entry point |
Contact for pricing | Contact for pricing |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
not disclosed | — |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
FurtherAI
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· Integrations
The FurtherAI Accelerator for PolicyCenter is now live on the Guidewire Marketplace and runs on Guidewire Cloud Platform.
Source -
· Agent capability
Inbox Agent, launched by FurtherAI, reads every email and attachment arriving in a shared underwriting inbox, classifies the documents, extracts the data and checks each submission against the carrier's appetite rules.
Source -
· Workflow orchestration
FurtherAI launched Builder Agent, a tool that allows insurance operators to create agentic workflows using natural language instructions.
Source
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