AI Development Planning Platform

Your developers are faster with AI. Your team isn't. Brunel Agent fixes that.

The AI project planning platform. Build structured plans. Export for any coding agent. Verify the results. Plan → Export → Execute → Verify.

Works with Cursor · Claude Code · GitHub Copilot · Windsurf · any coding agent

82%
of agent task failures trace to inadequate planning
Agent task analysis, n=2,847
3.2×
higher first-attempt success with structured plans
Planning-first studies
7+ hrs
per week lost to context provision & agent iteration
Developer surveys, n=2,847
23→61%
first-attempt accuracy with planning-first approach
Enterprise case studies, n=156
The Problem

The AI Productivity Paradox

Your developers say AI makes them faster. Your sprint velocity says otherwise. The research explains why.

What the data shows
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19% slower with AI. METR's randomized controlled trial found experienced developers were actually slower despite believing they were 20% faster. A 39% perception gap.
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91% longer PR reviews. Faros AI studied 10,000+ developers: 98% more PRs generated, but review time balloons by 91%. No net delivery gain.
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60-70% revision rate. The majority of AI-generated code requires significant revision before it's production-ready.
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54% unclear ROI. More than half of organizations report unclear or negative returns from AI coding agent investments.
Why it happens
1
No structured planning. 82% of failed agent tasks show agents jumping to code before understanding requirements, constraints, and dependencies.
2
No exportable context. Even when developers plan well, there's no way to package that planning into a format agents can consume.
3
No implementation verification. After agents complete work, nobody systematically checks whether the output matches the original intent.
4
Fragmented team knowledge. Each developer's AI conversations are siloed. No team visibility, no shared context, no institutional memory.
The root cause isn't model capability – it's what happens before and after. Tasks with explicit, structured plans before execution have 3.2x higher first-attempt success rates.
The Solution

Plan → Export → Execute → Verify

The missing workflow between your team’s requirements and your coding agents. Brunel Agent bookends agent execution with planning and verification.

1

Plan

Build structured plans collaboratively. Gather requirements, architecture context, constraints, and acceptance criteria—with AI-assisted context building.

2

Export

Export plans as structured documents any AI coding agent can consume. The handoff from planning to execution is seamless—structured context, not ad-hoc prompts.

3

Execute

Developers use whatever coding tool they prefer—Cursor, Claude Code, Copilot, or any other agent. Brunel stays out of the execution layer entirely.

4

Verify

Return to Brunel to verify the implementation matches intent. Catch deviations, missed requirements, and architectural violations before code review.

Brunel does not generate code. This makes Brunel genuinely complementary to every coding agent on the market—not a competitor to any of them.
Agent-Agnostic by Design

Works with every coding agent. Replaces none of them.

Brunel plans. Your favorite tools execute. Better plans make every agent more accurate.

Cursor
IDE Agent
Claude Code
CLI Agent
GitHub Copilot
IDE Agent
Windsurf
IDE Agent
+
Any Agent
Present & Future

Every improvement in the agent ecosystem increases Brunel’s value. Better agents executing better plans produce even better results.

How Brunel Differs

The planning layer your AI tools are missing

Coding agents excel at execution. Nobody plans for them or checks their output. Brunel fills that gap.

Capability ChatGPT / Claude GitHub Copilot Cursor / Claude Code Brunel Agent
Code Generation
Structured Team Planning
Plan Export for Agents
Implementation Verification Limited
Team Collaboration Limited
Persistent Context Limited
Session Lifecycle
PM Tool Integrations
Enterprise Audit Logs Enterprise tier
Agent-Agnostic N/A

The dash in Code Generation is the strategy. Brunel does not compete with your agents—it makes them better.

Built for Teams, Not Individuals

Finally see what your team’s AI is planning—and whether it’s working

Individual AI tools create individual silos. Brunel Agent is a team-first platform with shared workspaces, persistent history, and full audit visibility.

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Shared Workspaces

Every planning session is visible to the team. Organization → Project → Session hierarchy. Plans exist as shared artifacts, not disposable conversations.

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Session Lifecycle

Structured phases track each initiative: Backlog → Planning → Execution → Verification. Full status tracking and session archiving.

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Enterprise RBAC

Role-based access control with Owner, Admin, Member, and Viewer roles. Configure permissions at organization and project level.

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Audit Logs

Complete trail of all AI planning interactions, plan exports, and verification outcomes. SOC2, HIPAA, PCI-DSS compliance-ready.

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PM Tool Integrations

Native OAuth2 integrations with Jira, ClickUp, Asana, and Trello. Bidirectional sync between planning sessions and tickets.

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Multi-Provider AI

Use Claude, Bedrock, Gemini, or OpenAI for planning conversations. Configure different providers per project or organization.

Who It's For

Built for the people who feel the pain

From engineering managers seeking visibility to senior developers tired of re-explaining architecture to agents.

Engineering Managers

See every plan your team creates. Know what worked. No more blind spots. See what agents were asked to do, whether they delivered, and how accuracy improves over time.

Senior Developers

Build the plan once. Get complex tasks right the first time. Stop re-explaining your architecture to agents. Build plans with full context—dependencies, constraints, conventions.

Platform / DevEx Teams

One planning layer for every agent. No tool changes. Your developers use 5 different AI tools with no consistency. Brunel standardizes how teams prepare context and verify output.

CTOs & VPs Engineering

Make your existing AI investments actually pay off. You've invested heavily in AI tools but 54% of companies see unclear ROI. Brunel is the missing multiplier.

Frequently Asked Questions

Common questions

Brunel Agent is an AI project planning platform that enables development teams to build structured plans collaboratively, export them for any AI coding agent to execute (Cursor, Claude Code, Copilot), and verify the implementation matches the original intent. It is the planning and verification layer that bookends agent execution.

No. Brunel Agent does not generate code. It is deliberately agent-agnostic and complements your existing tools. Teams plan in Brunel, export to whatever coding agent they prefer, then return to Brunel to verify the results. It makes your current AI investments more effective, not redundant.

Research across 2,847 developers and 156 enterprise case studies shows that 82% of AI coding agent task failures trace to inadequate upfront planning, not model capability limitations. Planning-first approaches improve first-attempt success rates from 23% to 61% across all task categories.

Brunel generates structured plan documents that capture requirements, architecture context, constraints, dependencies, and acceptance criteria in formats AI coding agents can consume directly. Developers export the plan into Cursor, Claude Code, Copilot, or any agent of choice.

After an agent completes work, Brunel inspects the codebase to compare what was implemented against the original plan—checking for deviations, missed requirements, and architectural violations before code review.

Yes. Brunel includes AES-256-GCM encryption, role-based access control (RBAC), comprehensive audit logs for SOC2, HIPAA, and PCI-DSS compliance, and a self-hosted deployment option. The verification engine inspects local codebases without sending code to external services.

Brunel Agent is designed for mid-market technology companies with 50–500 developers—teams large enough to feel the pain of agents failing at complex, multi-file tasks, but agile enough that a new planning tool can gain traction without lengthy procurement.

Get Early Access

Your agents don’t need better models. They need better plans.

Join the teams building the planning layer their AI tools are missing. Early access to the Plan, Export, Execute, Verify workflow.