Introducing Agent Bridge — a two-way link to your AI agents.See how it works

Agent Bridge

Your agents are ready. Now hand them work worth doing.

Companies finally own capable agents — Claude seats, Copilot Studio tenants, coding agents on every desk. What they don't own is a way to tell those agents what to automate, or whether a process is worth automating at all. Agent Bridge closes both gaps: agent-ready spec-pack exports built for 20 agentic tools, and VARA as a callable tool so your agents check before they build. Rolling out now through early access.

Who it's for

For the teams who own agents but not their backlog.

Buying agent seats was the easy part. Deciding what those agents should work on — and proving it was worth it — is where programs stall. Agent Bridge closes that gap.

Automation CoE leaders

You own the pipeline, and now you own agent platforms too. Agent Bridge turns every qualified intake into a deployment-ready brief for whichever runtime each delivery team uses — no re-keying, no handoff documents.

Agent platform owners

Your Claude, Copilot Studio, or Devin seats are only as useful as the work you feed them. Agent Bridge hands them processes that already cleared Problem-First qualification — with the business rules and exception paths agents actually need.

Consulting partners

Scope with VARA, qualify with the deterministic engine, then deliver into whatever stack your client runs — agentic or RPA. One discovery engagement, every destination, under your own brand.

The two directions

One bridge. Both directions.

Most integrations push in one direction. Agent Bridge is a round trip: qualified work flows out to your agents, and your agents' questions flow back into VARA before anything gets built.

Direction one

Qualified work, out

Every process that clears the deterministic engine exports as a complete, agent-ready spec pack your team hands to the tool it already runs — and destination-specific bundles are rolling out tool by tool. The intake is the deployment artifact: no requirements document, no re-briefing, no drift between what was qualified and what gets built.

  • Process-definition JSON with steps, volumes, and systems
  • Business rules and exception paths with escalation routing
  • Acceptance tests derived from the intake conversation
  • The ROI model, so the agent's work traces back to a business case
Direction two

Judgment, in

VARA becomes a tool your agents can call, shipping through early access. Before an agent spends a week building, it asks VARA whether the process is worth automating at all — and gets back the same deterministic verdict a human analyst would: score, pattern, ROI, and ranked alternatives, with every fired rule on the record.

  • Qualify any process from inside the agent's own workflow
  • Pull the full spec pack for work that's already qualified
  • Search the ranked portfolio for the highest-value next build
  • Log deployment outcomes so portfolio ROI tracking stays live
Tool catalog

Every agent you run, named the way its vendor names it.

The 20 agentic tools plus the established RPA and BPM platforms Agent Bridge is built for — each receives artifacts in the format it natively consumes. Structured XML and report exports are live today; destination-specific bundles land tool by tool through the early-access program.

Assistants & copilots

Anthropic
Claude Cowork

Anthropic's agentic workspace where business teams delegate real work to Claude.

MCP server
Qualified process briefs, business rules, and live VARA qualification tools.
Anthropic
Claude Code

Anthropic's agentic coding tool for the terminal and IDE.

MCP server + repo context files
SDD L1–L3, process-definition JSON, and pre-built acceptance tests.
Anthropic
Claude Desktop

Anthropic's desktop assistant with first-class MCP support.

MCP server
Full process spec packs plus VARA tools for on-demand qualification.
OpenAI
ChatGPT Agent

OpenAI's autonomous agent that plans and executes multi-step tasks in ChatGPT.

Export bundle + connector actions
Process definition, business rules, and exception-routing tables.
OpenAI
Computer Use

OpenAI's computer-controlling agent for UI-level work across legacy screens.

Export bundle
Step-level process maps with screen-by-screen exception paths.
xAI
Grok

xAI's real-time reasoning assistant with agentic tool use.

Function-calling schema
Qualified process briefs with ROI context and ranked alternatives.
Perplexity
Comet Assistant

Perplexity's browser-native assistant inside the Comet browser.

Export bundle
Research-ready process briefs and qualification summaries.
Nous Research
Hermes

Nous Research's open-weight model family built for agentic tool calling.

OpenAPI + function schemas
Tool schemas and the full self-contained process spec pack.
Google
Gemini

Google's multimodal assistant and Workspace agent, backed by Vertex AI.

Export bundle (Vertex AI agent config)
Agent configuration with grounding, function calling, and extensions pre-wired.
Microsoft
Copilot Studio

Microsoft's platform for building and deploying custom copilots on Power Platform.

Power Platform solution package
Copilot Studio topics, Power Automate flows, and Dataverse audit logging.

Autonomous & coding agents

Google
Jules

Google's asynchronous coding agent that works through tasks in the background.

Repo context files
SDD L1–L3, task briefs, and acceptance test cases.
Cognition
Devin

Cognition's autonomous software engineer that plans, codes, and ships.

Repo context + task briefs
SDD, process-definition JSON, and a pre-built validation test harness.
Manus
Manus

The general-purpose autonomous agent that executes end-to-end tasks.

Export bundle
Self-contained spec packs with systems, SLA, and escalation context.
Anysphere
Cursor

The AI code editor with background agents for long-running work.

MCP server + rules files
Process-definition JSON and implementation-ready specifications.
Windsurf
Windsurf

The agentic IDE built around the Cascade agent.

MCP server + rules files
Spec packs with business rules and acceptance criteria.

Agent frameworks & orchestration

LangChain
LangGraph

LangChain's framework for stateful, controllable multi-agent graphs.

Process-definition JSON
Graph-ready process definitions with routing and exception states.
CrewAI
CrewAI

The framework for orchestrating role-based multi-agent crews.

Process-definition JSON
Role, task, and guardrail definitions derived from the intake.
Microsoft
AutoGen

Microsoft's open-source framework for multi-agent conversation systems.

Process-definition JSON
Agent and conversation configurations with escalation rules.
n8n
n8n

Workflow automation with native AI agent nodes.

Workflow JSON
Importable workflow skeletons with agent nodes pre-placed.
Zapier
Zapier Agents

Zapier's agents that act across 8,000+ connected apps.

Export bundle
Step definitions and trigger/action mappings.

RPA & BPM platforms

UiPath
UiPath Autopilot

UiPath's AI-assisted automation on the market-leading RPA platform.

Orchestrator queue + ProcessDefinition XML
Hybrid process definitions combining AI reasoning with RPA execution.
Microsoft
Power Automate

Microsoft's workflow automation across Power Platform.

Power Platform solution package
Flow definitions with connectors and approval gates pre-mapped.
Automation Anywhere
Automation Anywhere

Cloud-native intelligent automation platform.

ProcessDefinition XML
Bot-ready process definitions with exception handling.
SS&C
Blue Prism

Enterprise RPA with centralized governance.

ProcessDefinition XML
Object and process definitions with control-room routing.
Appian
Appian

Low-code process automation and case management.

ProcessDefinition XML
Process models with SLA parameters and escalation routing.
Pega
Pega Platform

Enterprise BPM and decisioning platform.

ProcessDefinition XML
Case types and decision logic derived from the qualification.
ServiceNow
ServiceNow

Workflow automation across the Now Platform.

Export bundle
Flow Designer definitions with catalog and approval context.
Camunda
Camunda

Open process orchestration on BPMN.

ProcessDefinition XML (BPMN)
BPMN diagrams with gateways and exception branches modeled.
Sample artifacts

What your agent actually receives.

Not a summary slide — the real format. Every spec pack is self-contained, provenance-stamped, and readable by machines and humans alike. These are illustrative excerpts, built from a sample invoice-processing intake.

process-definition.json
{
  "process": "invoice-processing",
  "version": "1.4.0",
  "qualification": {
    "pattern": "Hybrid RPA + IDP",
    "score": 94,
    "path": "problem-first / root-cause-clear / pattern-tree / idp-subtree",
    "rulesFired": ["R2_VOLUME_THRESHOLD", "R4_DOC_VARIABILITY", "R7_SYSTEM_ACCESS"]
  },
  "roi": { "annualValue": 241000, "paybackMonths": 3.4 },
  "steps": [
    { "id": "s1", "name": "Receive invoice", "channel": "email", "volumePerDay": 340 },
    { "id": "s2", "name": "Extract header + line items", "automation": "idp" },
    { "id": "s3", "name": "3-way match vs. PO and receipt", "automation": "rpa",
      "exceptions": ["price-variance", "missing-po"] }
  ],
  "exceptions": [
    { "type": "price-variance", "route": "human-review", "assignee": "ap-lead", "sla": "4h" },
    { "type": "missing-po", "route": "exception-ticket", "notify": "requester" }
  ]
}

The structured process definition — steps, volumes, exceptions, and the qualification verdict with every rule that fired.

AGENT_BRIEF.md
# Agent Brief — Invoice Processing (qualified 94/100)

You are taking over the invoice processing workflow for Accounts Payable.

## Scope
- 340 invoices/day arrive by email (PDF, ~12% scanned)
- Extract header and line items, then 3-way match against PO and receipt

## Business rules
1. Auto-approve matches within 2% price tolerance
2. Route price variances above 2% to the AP lead (SLA: 4 hours)
3. Never approve an invoice over $25,000 without human sign-off

## Escalation
- missing-po        → open an exception ticket and notify the requester
- system-unreachable → pause the queue and page on-call

## Provenance
Intake INT-2214 · scored 2026-08-12 · rules R2, R4, R7 · full audit trail attached

The Markdown brief coding and desktop agents load as context — scope, business rules, escalation, and provenance in plain language.

mcp-tool-call.json
// tools/call → quickstart_process
// One call: assess the process AND create the intake, in one round trip.
{
  "name": "quickstart_process",
  "arguments": {
    "title": "Vendor onboarding",
    "description": "Vendor onboarding takes 11 days. AP keys data from SAP, DocuSign, and Outlook by hand; 30% of cases bounce back for missing tax forms, about 120 onboardings a month."
  }
}

// response
{
  "assessmentId": 482,
  "title": "Vendor onboarding",
  "verdict": {
    "worthAutomating": true,
    "automationPotentialPct": 81,
    "recommendedPattern": "Low-Code BPM + IDP",
    "confidence": "Medium",
    "estimatedAnnualRoi": 96000,
    "paybackPeriodMonths": 5.1,
    "rulesTriggered": ["R2_VOLUME_THRESHOLD", "R4_DOC_VARIABILITY"]
  },
  "intakeId": 2214,
  "intakeStatus": "in_progress",
  "missingComponents": ["approvals", "compliance"],
  "nextQuestions": [
    "Does the process involve human approvals or sign-offs?",
    "Is the process subject to compliance or regulatory requirements?"
  ],
  "answersEndpoint": "/api/agent/vara/intakes/2214/answers"
}

The return direction, as it ships in early access: an agent calls VARA's qualification tool over MCP and gets the deterministic verdict back — score, pattern, ROI, alternatives, and a reference to the intake record. Illustrative sample.

VARA as a tool

Eleven tools. One senior analyst on call.

This is the real VARA tool contract, live today: connect an MCP-capable agent with an organization-scoped key and call quickstart_process to get a verdict and a running intake in one round trip — or reach for the individual tools below when you want finer control over each step.

quickstart_process

“Is this process worth automating — and if so, get it moving.”

The one-call fast path: the deterministic verdict, a real IntakeOS intake already created, and the next best questions — no separate promote step.

assess_process

“Is this process worth automating?”

The deterministic verdict alone — qualified or not, pattern, ROI projection, and the exact rules that fired — without creating an intake yet.

get_process_package

“Give me everything on the qualified invoice process.”

The full spec pack — process definition, business rules, exception routing, SLA parameters, and acceptance tests.

search_knowledge

“What do we already know about vendor onboarding?”

A keyword search across the organization's process knowledge — facts, notes, decisions, and documents from every intake.

Plus the finer-grained tools

promote_assessmentTurn a promising assessment into a real intake (built into quickstart_process, or call it on its own for finer control).
submit_answerAnswer VARA's follow-up questions on an intake until it's fully qualified.
get_required_componentsSee the full checklist of components VARA needs before a process counts as qualified.
get_assessmentFetch a previous assessment — its verdict, checklist, and promotion status.
list_processesList the organization's processes with status, pattern, potential, and priority.
get_exportRender a qualified process into a target-native bundle for a named agentic tool.
list_targetsList every agentic destination IntakeOS can export a process to.
Governance & audit

Agents move fast. The paper trail keeps up.

The reason to route agent work through IntakeOS isn't convenience — it's defensibility. Every verdict is deterministic, on the record, and reviewable.

Deterministic verdicts

Agents query the same 8-rule engine humans use. AI explains the verdict; it can never override it — and neither can the agent asking.

Qualification on the record

Every verdict is reproducible: the score, the rules that fired, and the ROI model are recorded with the intake — the same trail a human review would leave.

Revocable keys

Organization-scoped API keys issued and revoked from the admin console — one source of truth for agent access, cut off in one click.

Humans stay in the loop

Agents receive work that cleared Problem-First qualification, and your team decides which qualified processes ship to which agent. The bridge extends your process; it doesn't replace it.

Provenance in every artifact

Every exported file embeds the intake ID, score, and rules fired — so any agent's work traces back to the decision that authorized it.

Your data stays yours

Spec packs contain what the destination needs and nothing more. No training on your data, and self-hosted deployment keeps everything in your cloud.

FAQ

Questions teams ask before they connect.

The short answers. For the long ones, run an intake in the live demo and export it yourself.

Which agentic tools is Agent Bridge built for?

20 agentic tools — including Claude Cowork, Claude Code, Claude Desktop, OpenAI ChatGPT Agent and Computer Use, xAI Grok, Perplexity Comet Assistant, Nous Research Hermes, Google Gemini and Jules, Microsoft Copilot Studio, Manus, Devin, Cursor, Windsurf, n8n, LangGraph, CrewAI, AutoGen, and Zapier Agents — plus the established RPA and BPM platforms such as UiPath, Power Automate, Automation Anywhere, Blue Prism, Appian, Pega, ServiceNow, and Camunda.

What does my agent actually receive?

A self-contained spec pack derived from the qualified intake: process definition, business rules, exception paths with escalation routing, SLA and volume parameters, acceptance tests, and the ROI model. Structured XML and report exports are live today; as destination bundles roll out through early access, the format matches the tool — MCP context for Claude, solution packages for Copilot Studio, repo context files for coding agents, workflow JSON for n8n, BPMN for Camunda.

How will agents call VARA?

Through the VARA MCP server, shipping through early access, with an organization-scoped, revocable API key issued from the admin console. Any MCP-capable agent — Claude Code, Claude Desktop, Cursor, Windsurf, and others — will be able to ask VARA to qualify a process, pull a spec, search the ranked portfolio, or log a deployment outcome.

Can an agent change a qualification score?

No. Qualification runs through the same deterministic 8-rule engine humans use. Agents get the verdict, the rules that fired, and the ranked alternatives — they can never override the score, and every qualification is recorded with the exact rules that fired.

What if our tool isn't listed?

Export bundles are plain JSON, Markdown, and XML. Any tool that can read files, call an OpenAPI endpoint, or connect over MCP can consume them — no proprietary format, no lock-in.

Can I try Agent Bridge today?

Start in the demo workspace: run an intake and open the completed report to see exactly the spec pack your agent would receive — every sample artifact on this page comes from that flow. The full tool catalog and VARA's agent-facing tool surface are rolling out now; book a call to get your workspace connected first.

Stop briefing agents by hand.

Run a VARA intake on a real process, watch the deterministic engine qualify it, then export the spec pack and hand it to the agent your team already uses. The whole loop fits inside an hour.

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