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AI stack intelligence audit

Find the fastest path from AI tool sprawl to a usable stack.

We review your AI tools, coding agents, model providers, automations, security constraints, and workflow goals, then turn them into a practical stack plan your software team can act on.

What we review

A stack audit report for the decisions that affect shipping.

Workflow fit

Which tools belong in the stack, which overlap, and which gaps block daily engineering work.

Cost and redundancy

Monthly spend, duplicate seats, API cost exposure, and cheaper replacements where the tradeoff is acceptable.

Risk and controls

Data boundaries, self-hosting needs, agent permissions, review loops, and handoff risk before rollout.

Implementation path

A short prioritized plan for what to keep, remove, connect, automate, or move into a done-for-you setup.

Deliverables

Clear enough to act on, small enough to finish.

This is not a generic tool list. The output is a practical recommendation path for your current stack, constraints, and next workflow.

  • Stack audit report with keep, replace, remove, and add recommendations
  • Cost and overlap notes for the tools you already use
  • Risk review for permissions, hosting, data boundaries, and agent workflows
  • Prioritized next steps for setup, automation, or migration
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