GuestDemo Mode
Demo Workspace

About / Product Vision

ARB Copilot — a human-in-the-loop agentic AI product for enterprise architecture governance

How AI is used today

Public demo pages use static sample data only — no live AI is called and no credits are consumed. Signed-in workspaces run live AI analysis through a configured third-party AI provider via a managed AI gateway. ARB Copilot prepares evidence; architects make the final decision. See the AI Data Notice for provider details.

Operator

ARB Copilot is operated by Hari Krishna Bodapati, based in India. Built by Hari Krishna Bodapati, a TOGAF-certified enterprise architect. Contact hari@eabyea.com.

Try ARB Copilot in your own workspace

ARB Copilot is available as self-service SaaS. Create a free workspace to try live AI-assisted architecture governance on your own scenarios.

Start Free View pricing hari@eabyea.com

Product summary

ARB Copilot is a human-in-the-loop agentic AI product for enterprise architecture governance. It helps CIO/CTO offices and enterprise architecture teams convert technology intake requests into structured review analysis, routing recommendations, architecture risk discovery, missing information detection, NFR checklist generation, reviewer task routing, and audit-ready decision evidence.

Problem

Architecture, security, procurement, cloud, data privacy, and AI governance reviews are fragmented. Requests are often incomplete, review routing is manual, decisions are poorly documented, and audit evidence is created late or inconsistently.

How ARB Copilot works

ARB Copilot helps architecture teams move from request intake to AI-assisted triage, reviewer routing, risk signals, and decision evidence.

ARB Copilot workflow from architecture request to AI triage, review routing, risk signals, and decision pack.
AI helps triage and prepare decision evidence; ARB Leads and reviewers remain in control.

The operational impact

Instead of adding another tool, ARB Copilot changes how the architecture governance operating model runs day-to-day.

  • Less coordination work — reviewer chasing, status updates and follow-up emails move into a single workflow.
  • Better governance consistency — every request follows the same intake, triage, routing and decision structure.
  • Faster preparation for reviews — analysis, risks and missing information are assembled before the review starts.
  • Improved transparency — requesters, reviewers and ARB leads see the same status and outstanding items.
  • Better auditability — reviewer rationale, approval conditions and final decisions are captured in one place.
  • Reusable organizational knowledge — past decisions become precedents for future reviews instead of tribal knowledge.

Agent pipeline

Specialist agents run in sequence, each producing structured output the next agent can build on. The ARB lead sees the consolidated decision pack and makes the final call.

  1. Step 1Intake AgentParses raw requests
  2. Step 2Classification AgentScores complexity & risk
  3. Step 3Risk DiscoverySurfaces architecture risks
  4. Step 4Missing InfoDetects gaps, drafts questions
  5. Step 5NFR ChecklistSecurity, privacy, ops checks
  6. Step 6Routing AgentAssigns ARB sub-teams
  7. Step 7Decision Evidence AgentDrafts ADR for the ARB

Human-in-the-loop principle

AI agents recommend. Human ARB leads decide. Final architecture decisions remain accountable to authorized human reviewers.

First MVP use case

AI / SaaS / software onboarding review.

Architecture direction for future enterprise deployment

Designed to grow from controlled pilots toward enterprise deployment. Each layer is chosen so the Copilot can evolve into the system-of-record for architecture governance — without re-platforming.

  • FrontendReact / TanStack Start

    Fast, deep-linkable UI that fits into existing enterprise portals.

  • Agent OrchestrationBackend service / workflow engine

    Coordinates specialist agents so reviewers see one consistent decision pack.

  • AI LayerConfigured third-party AI provider (via managed AI gateway)

    Live AI analysis runs through a configured third-party provider. Alternative and private-VPC providers are on the roadmap for enterprise pilots.

  • Data LayerPostgres (managed)

    Durable record of every request, recommendation, and human decision for audit.

  • StorageObject storage

    Holds evidence artefacts and exported decision packs alongside the audit trail.

  • WorkflowServer functions + queued tasks

    Long-running review processes survive retries, escalations, and reviewer hand-offs.

  • Enterprise IntegrationsServiceNow (work-note export today; live integration on roadmap)

    Meets reviewers where they already work — no parallel inbox to maintain.

Ready to try ARB Copilot?

Create a free workspace — no payment card required.

Start Free