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Wayfound

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Agent builderindependentVerified 2026-07-01

The first independent AI agent supervision platform, a Gartner guardian agent that connects to any agent to monitor, score, and evaluate every interaction for non technical business owners.

Wayfound is an AI agent supervision platform, the category Gartner named guardian agents in mid 2025, and it positions itself as the first independent solution of its kind. Rather than building or executing agents, Wayfound supervises them. Its AI Manager connects to agents built anywhere, whether developed in house, with external tools, or purchased from third party vendors like Intercom Fin, Qualified Piper, or Salesforce Agentforce, usually with a single line of code, then captures and analyzes every interaction to assess how well each agent is performing.

The platform is built for non technical business owners, the product leads and compliance leaders who own the real world outcomes of AI agents. Through one dashboard they get live agent behavior scorecards, root cause transparency into why an agent made a given choice, timeline views that pinpoint which agent failed at which stage, and end to end transcript supervision that flags issues in real time before they reach users. Every interaction is scored red, yellow, or green against the customer's own business guidelines, and custom alerts catch drift, hallucinations, off script responses, rule breaches, and data leaks.

Evaluation and oversight are where Wayfound is strongest. Business users write evaluation criteria in plain natural language, and an OKR framework with performance reviews delivers real time feedback on satisfaction and adherence to guidelines. The Manager itself uses both deterministic software and foundation models, with enterprise agreements with OpenAI and Anthropic to power its analysis, while remaining model agnostic. Human in the loop review and approval steps run thirty percent faster because approvers get agent scores, assessments, and explanations in one place.

Wayfound works with any agent framework or orchestration layer, offers its own Model Context Protocol server and a Salesforce Agentforce integration, and adds closed loop self improvement so agents learn over time, plus a Meetings feature that lets agents share context and learn from one another. It is SOC 2 Type II compliant, guarantees that agent data is never shared or used for model training, and runs in the cloud with on premises deployment available on request. Because it supervises rather than builds agents, capabilities like prebuilt task agents, customer channels, and computer use fall outside its scope.

Vendor details

Canonical URL

https://wayfound.ai

Company status

independent

Use cases & customers

In practice

A support team cannot finish a custom AI agent because of repeated training gaps and unexpected behavior. Connecting it to Wayfound surfaces the knowledge gaps and problem interactions, and the team fixes them within two weeks to hit a launch deadline.

A fintech runs a third party sales development agent but has no visibility into whether it performs. Wayfound scores every interaction red, yellow, or green against the company's guidelines, revealing exactly where the agent helps and where it falls short.

A compliance leader must ensure agents never leak data or go off brand. Wayfound reads every action in real time, alerts on rule breaches and drift, and routes flagged cases to human approvers with full context for a fast decision.

Sources & related URLs

Research notes

CATEGORY-DEFINING: AI Agent SUPERVISION platform / 'GUARDIAN AGENT' (Gartner category, mid-2025). World's first independent agent-supervision platform. SUPERVISES other AI agents (NOT a builder or task-agent — a meta governance/oversight layer). Named Top 10 AI Agent Observability Platform. Built for NON-TECHNICAL business users (product leads/compliance/business-owners who own agent outcomes). 'AI Manager'/'AI Supervisor' captures+analyzes EVERY agent interaction, assesses performance, suggests improvements near-real-time. Connects to agents built anywhere (in-house/external/3rd-party: Intercom Fin, Qualified Piper, Salesforce Agentforce) with ONE LINE OF CODE. Model-agnostic (works w/ LangChain/AutoGen/custom stacks). 3 FULLS (all governance-cluster, its core): OBS=F (best-in-class — captures every interaction+action, Live Behavior Scorecards, Root Cause Transparency 'why', Timeline view, transcript supervision, Red/Yellow/Green per-interaction scoring, drift-detection), EVAL=F (LLM-AS-JUDGE agent evaluation via OpenAI/Anthropic, business-users write NL eval-criteria, OKR framework + Performance Reviews, closed-loop self-improvement, action-recommendations), HITL=F (guardian layer — real-time issue-flagging before reaching users, alerts on risky-behavior/rule-breaches/data-leaks/off-script/hallucinations, human review+approval workflows 30% faster). 7 P's: Int=P (connect-any-agent one-line-code + own MCP server + Agentforce), Orch=P (weak — explicitly says it's a SUPERVISOR not orchestrator; but 'Meetings' = multi-agent context-sharing/collaboration), Sec=P (SOC 2 Type II + data never-shared/trained; single cert), Mem=P (closed-loop self-improvement + Meetings context-sharing + historical data), Dep=P (cloud SaaS; on-prem on-request), Model=P (model-agnostic + multi-model OpenAI/Anthropic analysis), Ext=P (own MCP server + API + one-line integration + Agentforce app). 4 N's (appropriately — task-builder axes it doesn't do): Know=N (detects knowledge-gaps but doesn't do RAG), Pack=N (supervises, doesn't ship task agents), Trig=N (no customer channels), Comp=N. 'Meetings' = agents share context/collaborate/learn. Uses deterministic + LLM. CATEGORY-FIT FLAG: 'Agent builder' is a stretch (it's a guardian/governance tool, not a builder) — lane-assigned, no better enum. IMPORTANT: composite measures BREADTH, so a deliberately-narrow best-in-class specialist scores mid-range (6.5) — its Obs=F/Eval=F are arguably the STRONGEST in the index for those axes; 6.5 should NOT be read as weaker-than-Teneo on oversight. Pricing: 3 tiers (AI Innovator nominal-fee try / AI Growth / Enterprise); public pricing page but exact $ not surfaced; on-prem on-request. Domain wayfound.ai. Score 6.5 (3F/7P/4N).

Capability coverage

6.5 / 14 capabilities · 46%

Integrations & Tool CallingWayfound connects to agents built on any platform and to third party agents with one line of code plus its own Model Context Protocol server and a Salesforce Agentforce integration, broad connectivity for supervision short of a task executing tool integration layer, so partial.	Partial
Workflow OrchestrationWayfound supervises multi agent processes and enables agents to share context and collaborate through its Meetings feature, real multi agent coordination support short of itself orchestrating and executing end to end task workflows, so partial.	Partial
Knowledge Grounding & RAGWayfound identifies knowledge gaps in the agents it supervises, but itself performing citation grounded retrieval or knowledge grounding for task execution is not its function and could not be verified.	Unable to verify
Human Oversight & GuardrailsWayfound is a purpose built oversight layer that reads every agent action against business guidelines in real time, flags risky behavior, off script responses, and data leaks, and streamlines human in the loop review and approval checkpoints, so full.	Full
Security, Identity & GovernanceWayfound is SOC 2 Type II compliant with enterprise grade encryption and guarantees that agent data is never shared or used for model training, a solid security posture short of the broader named certifications and identity governance that would earn full, so partial.	Partial
Observability & AuditabilityWayfound captures and analyzes every agent interaction and action in real time with behavior scorecards, root cause transparency into why an agent made each choice, timeline views, and per interaction red yellow green scoring, so full.	Full
Memory & State PersistenceWayfound retains historical agent performance data and enables closed loop self improvement and context sharing between agents through Meetings, real state and learning persistence short of a documented shared cross session agent memory store, so partial.	Partial
Deployment & Data ResidencyWayfound is delivered as a cloud platform with on premises deployment available on request for specific use cases, real deployment flexibility short of standard documented self host or data residency options, so partial.	Partial
Prebuilt Agents, Templates & PacksWayfound supervises agents built elsewhere and provides evaluation frameworks, but a library of prebuilt or cloneable task agents is not its function and could not be verified.	Unable to verify
Triggers & Channel CoverageWayfound monitors agents and sends alerts and escalations to human reviewers, but broad customer facing channel coverage or proactive outbound triggering is not its function and could not be verified.	Unable to verify
Model Flexibility & RoutingWayfound is model agnostic, supervising agents built on any large language model and using multiple foundation models including OpenAI and Anthropic for its own analysis, real model flexibility short of a documented per task routing gateway, so partial.	Partial
APIs, SDKs & MCP ExtensibilityWayfound offers its own Model Context Protocol server, an application programming interface, and one line of code integration plus a Salesforce Agentforce app, real extensibility short of a fully documented software development kit, so partial.	Partial
Testing, Debugging & OptimizationWayfound evaluates agents by reading and scoring every interaction against business guidelines using foundation models as a judge, lets business users write evaluation criteria in natural language, and runs performance reviews with drift detection and improvement recommendations, so full.	Full
Browser & Computer UseWayfound is an agent supervision platform, and general browser or computer use as a first class capability is not applicable and could not be verified.	Unable to verify

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Pricing

Three tiers, from a nominal fee trial to Enterprise

Contact onlyMedium variable cost

Verified 2026-07-01

Data confidence: high