sensiti

AI writes half your code now.
Your process hasn't caught up.

Sensiti works with engineering orgs of 10–50 developers on the layer the tools can't install — workflow conventions, quality gates between prototype and production, and the AI skill libraries that make adoption stick. Including the legacy rewrite you've been putting off.

AI now generates 52.7% of code across 500+ engineering orgs — while the share of time spent on innovation hasn't moved. DX, Q2 2026

A ladder, not a menu.

Start with a fixed-fee diagnostic — low risk, real findings, fee credited if you continue. Most teams move into one of two engagements from there, and a retainer keeps the practices alive after handoff.

Engagement details.

Published ranges, not mystery pricing. Where the number lands within a range depends on team size, repo count, and systems involved — set after the diagnostic, in writing, before work begins.

AI Adoption Diagnostic

For

Engineering leaders who want a grounded read before committing to a larger engagement — or an independent second opinion on a rollout that has stalled.

Scope

Two weeks inside your actual repos, pull requests, and docs. Working sessions with your leads plus async review of how AI-assisted work really happens today — evidence, not opinion surveys.

Deliverables

  • Written, opinionated diagnosis of where adoption is stalling and why
  • Current-state snapshot scored against the practices that predict AI ROI
  • Prioritized 90-day plan with sequencing rationale
  • Fee fully credited toward a larger engagement started within 90 days
Duration 2 weeks
Investment $7,500 fixed

AI-Augmented Engineering Transformation

Flagship engagement

For

Engineering orgs of 10–50 developers where the tools are bought and the early enthusiasm is over — usage is uneven, quality is wobbly, and nobody agrees on what good looks like.

Scope

Diagnostic → workflow conventions for AI-assisted development → quality gates between prototype and production → hands-on team enablement → shared knowledge systems wired into your AI workflows → measurement.

Deliverables

  • Documented workflow conventions and quality gates your team actually follows
  • Team-wide enablement on Claude and agentic workflows, with hands-on mentoring
  • Organizational knowledge base integrated into daily AI-assisted work
  • Adoption metrics and a measurement plan that outlives the engagement
Duration 10–14 weeks
Investment $60,000 – $110,000

AI-Assisted Legacy Modernization

For

Teams carrying a product that is eight to fifteen years old — the rewrite everyone knows is needed and nobody wants to fund the old way.

Scope

Codebase audit → risk-ranked rewrite plan → a pilot slice shipped using an audit / plan / implement / verify AI skill pipeline → the method transferred to your team so the rest of the rewrite is yours to run.

Deliverables

  • Codebase audit and risk-ranked modernization plan
  • A pilot slice rewritten and shipped to production
  • The audit → plan → implement → verify skill pipeline, yours to keep
  • Verification harness and runbook for the team that owns what's next

Method proven on PHP/Laravel-era systems and a legacy mobile → React Native rewrite. Stack-agnostic by design.

Duration 8–12 weeks
Investment $40,000 – $90,000

Fractional AI Advisory

For

Leaders who want the thinking without a project — or teams keeping momentum after an engagement ends.

Scope

Advisory: a monthly working session, async access with a 48-hour response SLA, and two artifact reviews per month. Embedded: weekly working sessions (~1 day/week), ownership of the adoption roadmap, and a monthly metrics review.

Deliverables

  • Monthly written briefing on what to consider next
  • Reviews of the artifacts that matter — conventions, skill files, quality gates, rewrite plans
  • Direct access between sessions for time-sensitive decisions
Duration Ongoing · monthly
Investment $4,000/mo advisory · $10,000/mo embedded

The same spine under every engagement.

Designed to produce operational change your team keeps — not deliverables that sit on a shelf.

1

Diagnose

Weeks 1–2

Working sessions inside your actual repos, PRs, and docs. A short, opinionated written diagnosis of what's actually blocking the team.

2

Implement

Weeks 3–N

Hands-on work with your team. Conventions established, quality gates built, skills shipped — working practices, not slideware.

3

Transfer

Final weeks

Your team owns it: documented playbooks, trained people, and measurement in place before Sensiti steps back.

4

Sustain

Optional

An advisory retainer keeps the practices alive as the tools and models underneath them keep changing.

Who you're working with.

Sensiti was founded by Sean Timm, an engineering leader who has spent the last few years running AI adoption from the inside — not advising on it from a distance.

He has led engineering teams at two different companies through AI adoption: mentoring developers on Claude and agentic workflows, building an organizational second brain, and authoring the audit → plan → implement → verify skill libraries his teams use for AI-assisted legacy rewrites. That work includes an AI-assisted rewrite of a legacy mobile app to React Native, along with MCP servers and AI-integrated internal tooling.

His stack history spans every framework generation — C/C++, Java, and C# through PHP and Laravel to the full JavaScript family tree (React, Vue, Svelte, Ember, Backbone) and React Native. Which is exactly what reading a decade-old codebase requires.

Based in Idaho · Remote-first, worldwide · On-site available

Let's talk about your team.

A 30-minute conversation about where your team is and whether Sensiti is the right fit. If it is, the next step is a two-week diagnostic — not a proposal the size of a phone book.

Book a 30-minute fit call

Prefer email? hello@sensiti.co

Remote-first, worldwide. On-site kickoffs and workshops available — travel billed at cost, no markup.