Turn AI adoption into
real delivery impact

Turn AI adoption into real delivery impact

Plandek detects AI adoption, usage, constraints and risks. Safely unlock the productivity potential of AI and drive true impact across the SDLC.

Plandek AI Impact dashboard showing Claude usage metrics: 38% acceptance rate, 7,932 suggestions accepted, 12,941 rejected, avg. 38 line changes, primary method In-Line, most used model Claude Sonnet, with team activity heatmap for Platform, Payments, Growth, and Integrations teams
Plandek AI Impact dashboard showing Claude usage metrics: 38% acceptance rate, 7,932 suggestions accepted, 12,941 rejected, avg. 38 line changes, primary method In-Line, most used model Claude Sonnet, with team activity heatmap for Platform, Payments, Growth, and Integrations teams

See the full picture of AI usage and impact in one place

See the full picture of AI usage and impact in one place

Your AI toolset diagram showing AI coding tools including Cursor, Claude, GitHub Copilot, and Devin feeding data into the Plandek platform

Get a complete view of AI impact and usage across your teams

Plandek combines data from across your AI tools – from coding assistants to chat and automation tools – into a single, consistent view. See how AI is being used across your teams, without relying on fragmented dashboards or tool-specific reporting.

Plandek combines data from across your AI tools – from coding assistants to chat and automation tools – into a single, consistent view. See how AI is being used across your teams, without relying on fragmented dashboards or tool-specific reporting.

Your AI toolset diagram showing AI coding tools including Cursor, Claude, GitHub Copilot, and Devin feeding data into the Plandek platform

Get a complete view of AI impact and usage across your teams

Plandek combines data from across your AI tools – from coding assistants to chat and automation tools – into a single, consistent view. See how AI is being used across your teams, without relying on fragmented dashboards or tool-specific reporting.

Pull request #1955 Add connectors shown as Merged, with mclarke merging 5 commits into master, 3 contributors, and Plandek auto-detected AI contributors label

Manage the impact and risk of AI by tracking signals that other platforms miss

Plandek not only connects to the latest AI tools, but it also automatically detects AI-authored and AI-assisted work by analyzing code changes and patterns in your pull request data – so you can manage the risk and impact of AI.

Plandek not only connects to the latest AI tools, but it also automatically detects AI-authored and AI-assisted work by analyzing code changes and patterns in your pull request data – so you can manage the risk and impact of AI.

Pull request #1955 Add connectors shown as Merged, with mclarke merging 5 commits into master, 3 contributors, and Plandek auto-detected AI contributors label

Manage the impact and risk of AI by tracking signals that other platforms miss

Plandek not only connects to the latest AI tools, but it also automatically detects AI-authored and AI-assisted work by analyzing code changes and patterns in your pull request data – so you can manage the risk and impact of AI.

Take charge of AI adoption, usage, impact, and risk

Take charge of AI adoption, usage, impact, and risk

Ensure AI is actually being adopted across your teams

Understand how AI is being adopted across your organization, from license utilization to daily activity and multi-tool usage. See which tools are gaining traction, where adoption is stalling, and whether teams are using AI consistently enough to drive real impact.

Understand how AI is being adopted across your organization, from license utilization to daily activity and multi-tool usage. See which tools are gaining traction, where adoption is stalling, and whether teams are using AI consistently enough to drive real impact.

AI Adoption Progress dashboard showing daily activity rate 34%, daily license utilization 33%, and 5 daily multi-tool users, with license breakdown for Claude Code, Cursor, GitHub Copilot, and Devin, plus multi-tool usage distribution chart

Ensure AI is actually being adopted across your teams

Understand how AI is being adopted across your organization, from license utilization to daily activity and multi-tool usage. See which tools are gaining traction, where adoption is stalling, and whether teams are using AI consistently enough to drive real impact.

AI Adoption Progress dashboard showing daily activity rate 34%, daily license utilization 33%, and 5 daily multi-tool users, with license breakdown for Claude Code, Cursor, GitHub Copilot, and Devin, plus multi-tool usage distribution chart
GenAI Overview dashboard Usage tab showing AI suggestions acceptance rate 38%, 7,932 suggestions accepted, 12,941 rejected, avg. 38 AI line changes, primary acceptance method Chat, and most used model Claude Sonnet 4.6

Optimize how your teams use AI

Plandek analyzes how AI is used in your workflows, not just whether it’s adopted. Track key metrics like suggestion acceptance rate, rejected suggestions and lines changed. Identify what’s actually improving productivity, where usage is ineffective, and how to optimize AI adoption across your teams.

Plandek analyzes how AI is used in your workflows, not just whether it’s adopted. Track key metrics like suggestion acceptance rate, rejected suggestions and lines changed. Identify what’s actually improving productivity, where usage is ineffective, and how to optimize AI adoption across your teams.

GenAI Overview dashboard Usage tab showing AI suggestions acceptance rate 38%, 7,932 suggestions accepted, 12,941 rejected, avg. 38 AI line changes, primary acceptance method Chat, and most used model Claude Sonnet 4.6

Optimize how your teams use AI

Plandek analyzes how AI is used in your workflows, not just whether it’s adopted. Track key metrics like suggestion acceptance rate, rejected suggestions and lines changed. Identify what’s actually improving productivity, where usage is ineffective, and how to optimize AI adoption across your teams.

Go from AI adoption to supercharged productivity gains

Plandek links AI activity directly to delivery data across your SDLC, allowing you to compare AI-authored, AI-assisted, and non-AI work across key metrics like lead time, throughput, and merge time - so you can identify what’s working, optimize usage, and scale what drives real improvements.

Plandek links AI activity directly to delivery data across your SDLC, allowing you to compare AI-authored, AI-assisted, and non-AI work across key metrics like lead time, throughput, and merge time - so you can identify what’s working, optimize usage, and scale what drives real improvements.

Plandek AI impact metrics showing Lead Time for Change based on AI at 138 hours down 12.1%, AI Authored Work at 58 items up 40.5% representing 27% of all work, and AI Authored PRs Merged at 102 up 50% with an 87.9% merge ratio

Go from AI adoption to supercharged productivity gains

Plandek links AI activity directly to delivery data across your SDLC, allowing you to compare AI-authored, AI-assisted, and non-AI work across key metrics like lead time, throughput, and merge time - so you can identify what’s working, optimize usage, and scale what drives real improvements.

Plandek AI impact metrics showing Lead Time for Change based on AI at 138 hours down 12.1%, AI Authored Work at 58 items up 40.5% representing 27% of all work, and AI Authored PRs Merged at 102 up 50% with an 87.9% merge ratio
Plandek AI code quality charts showing PRs with no linked tickets at 38.35% down 16.2%, AI contribution over time growing to 1,116 PRs up 26% from Jan to Mar, and AI contribution vs bugs over time comparison line chart

Manage AI risk and compliance while you scale

AI adoption introduces governance and regulatory risk. Plandek surfaces risk signals across your delivery workflows and provides visibility and control over AI usage - supporting compliance with governance codes, ISO 42001, FCA/SEC regulations, and the EU AI Act.

AI adoption introduces governance and regulatory risk. Plandek surfaces risk signals across your delivery workflows and provides visibility and control over AI usage - supporting compliance with governance codes, ISO 42001, FCA/SEC regulations, and the EU AI Act.

Plandek AI code quality charts showing PRs with no linked tickets at 38.35% down 16.2%, AI contribution over time growing to 1,116 PRs up 26% from Jan to Mar, and AI contribution vs bugs over time comparison line chart

Manage AI risk and compliance while you scale

AI adoption introduces governance and regulatory risk. Plandek surfaces risk signals across your delivery workflows and provides visibility and control over AI usage - supporting compliance with governance codes, ISO 42001, FCA/SEC regulations, and the EU AI Act.

The dedicated framework for AI-augmented engineering

Plandek's proven RACER framework structures your Al transition across rollout, adoption, constraints, engineering impact, and results – ensuring Al delivers measurable performance gains, not just increased activity. Learn more

Plandek's proven RACER framework structures your Al transition across rollout, adoption, constraints, engineering impact, and results – ensuring Al delivers measurable performance gains, not just increased activity. Learn more

Illustrated diagram of The RACER Framework showing five stacked orange 3D layers labeled Rollout, Approach, Constraints, Eng Impact, and Results

The dedicated framework for AI-augmented engineering

Plandek's proven RACER framework structures your Al transition across rollout, adoption, constraints, engineering impact, and results – ensuring Al delivers measurable performance gains, not just increased activity. Learn more

Illustrated diagram of The RACER Framework showing five stacked orange 3D layers labeled Rollout, Approach, Constraints, Eng Impact, and Results
  • If you want to know if engineering is running efficiently, Plandek gives you the complete picture. If I could take one product with me to a new company, it would be Plandek, and I did that when I joined PEI Group.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Darren Thorpe

    Chief Product Officer, PEI Group

  • As we accelerated with AI, we’d see productivity improve, then plateau. Plandek helped us identify the next high-value constraint so we could unlock the next stage of improvement.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Beccy Weeks

    Chief AI Officer, Citation

  • We’ve been really able to demystify what was once previously a really complex engineering process… and really build a better conversation around what it means to build good product software.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Gary Stevens

    Director of Engineering, Trainline

  • Predictability, while good, isn’t what we’re trying to optimise now. It is about speed to market. It will become table stakes: if you’re a technology business, you should be able to deliver software in no time at all. If you can’t, there’s a business problem looming.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    James Cameron-Williams

    CPTO, OAG

  • The data provides a mirror. It’s not just showing us where the problems are, it gives us the starting point for the conversations we need to have with our teams.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Niklas Lundborg

    CTO, Bokio

  • Plandek provides industry experts who tailor to our needs… Plandek are leaders in this space so we need to tap into this experience.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Daniel Pierce

    Sr Director of Data & Analytics, Sage

  • If you want to know if engineering is running efficiently, Plandek gives you the complete picture. If I could take one product with me to a new company, it would be Plandek, and I did that when I joined PEI Group.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Darren Thorpe

    Chief Product Officer, PEI Group

  • As we accelerated with AI, we’d see productivity improve, then plateau. Plandek helped us identify the next high-value constraint so we could unlock the next stage of improvement.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Beccy Weeks

    Chief AI Officer, Citation

  • We’ve been really able to demystify what was once previously a really complex engineering process… and really build a better conversation around what it means to build good product software.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Gary Stevens

    Director of Engineering, Trainline

  • Predictability, while good, isn’t what we’re trying to optimise now. It is about speed to market. It will become table stakes: if you’re a technology business, you should be able to deliver software in no time at all. If you can’t, there’s a business problem looming.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    James Cameron-Williams

    CPTO, OAG

  • The data provides a mirror. It’s not just showing us where the problems are, it gives us the starting point for the conversations we need to have with our teams.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Niklas Lundborg

    CTO, Bokio

  • Plandek provides industry experts who tailor to our needs… Plandek are leaders in this space so we need to tap into this experience.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Daniel Pierce

    Sr Director of Data & Analytics, Sage

  • If you want to know if engineering is running efficiently, Plandek gives you the complete picture. If I could take one product with me to a new company, it would be Plandek, and I did that when I joined PEI Group.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Darren Thorpe

    Chief Product Officer, PEI Group

  • As we accelerated with AI, we’d see productivity improve, then plateau. Plandek helped us identify the next high-value constraint so we could unlock the next stage of improvement.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Beccy Weeks

    Chief AI Officer, Citation

  • We’ve been really able to demystify what was once previously a really complex engineering process… and really build a better conversation around what it means to build good product software.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Gary Stevens

    Director of Engineering, Trainline

  • Predictability, while good, isn’t what we’re trying to optimise now. It is about speed to market. It will become table stakes: if you’re a technology business, you should be able to deliver software in no time at all. If you can’t, there’s a business problem looming.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    James Cameron-Williams

    CPTO, OAG

  • The data provides a mirror. It’s not just showing us where the problems are, it gives us the starting point for the conversations we need to have with our teams.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Niklas Lundborg

    CTO, Bokio

  • Plandek provides industry experts who tailor to our needs… Plandek are leaders in this space so we need to tap into this experience.

    Profile photo of Stuart Pearce, Portfolio CTO at Hg Capital

    Daniel Pierce

    Sr Director of Data & Analytics, Sage

Speak to a delivery expert today

See how AI is actually being used, identify what’s driving results, and take action to optimise adoption and performance across your teams.

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