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Fractional CTO & Technical Consulting

Part-time technical leadership.

For technology decisions that affect growth, operations, risk or capital: advice at leadership level from someone who also works on the implementation.
JarvisMCP, running in production
In production · JarvisMCP
How we built it

In short

Part-time technical leadership: roadmaps, architecture, vendor and hiring decisions, and delivery oversight through launch, from people who also work on the implementation.

Where a fractional CTO helps

What this looks like in practice

Technology strategy and roadmap

Translate business priorities into a practical technical plan with clear sequencing, ownership, and investment decisions.

  • Current-state technology and workflow assessment
  • 90-day and 12-month roadmap
  • Build-versus-buy recommendations
  • Budget, sequencing, and risk tradeoffs

Architecture and technical due diligence

Review the systems, vendors, data flows and technical debt before they become expensive problems.

  • Application and integration architecture reviews
  • Security, resilience, and maintainability assessment
  • Vendor and platform evaluation
  • Technical diligence for acquisitions or major investments

Delivery and team leadership

Give internal teams and outside vendors one accountable technical direction from planning through launch.

  • Backlog, milestones, and acceptance criteria
  • Engineering hiring and vendor management
  • Weekly executive progress and risk reporting
  • Project rescue and delivery stabilization

AI and automation advice

Decide which automation is worth doing, then oversee the work with agreed measures.

  • AI and automation opportunity mapping
  • ROI, data-readiness, and workflow analysis
  • Human review, controls, and operating policies
  • Pilot design, vendor selection, and rollout oversight

What it includes

The parts most projects in this area need.
  • Leadership advice

    Plain-language guidance for owners and leadership teams making consequential technology decisions.

  • Architecture and risk

    A practical view of scalability, security, integrations, technical debt, and operational resilience.

  • Delivery oversight

    Visible milestones, named owners, working demos, and problems raised early.

How the work runs

The steps from first call to handover.
  1. 01

    Diagnose

    Map the business goals, current systems, constraints, risks, and stalled decisions.

  2. 02

    Decide

    Set priorities, architecture, ownership, budget, and a roadmap leadership can defend.

  3. 03

    Execute

    Lead internal teams and vendors, remove blockers, and verify each milestone against the outcome.

  4. 04

    Transfer

    Document the system, train the team and hand over clear ownership.

Technologies

What we usually build with.

Technology Roadmaps / Architecture Reviews / Technical Due Diligence / Vendor Selection / AI Strategy / Security & Risk / Data & Integrations / Engineering Leadership

Work

Systems we lead and run

The delivery process and infrastructure we run our own products on, and bring to client work.
  • Developer Tools

    Agent delivery harness

    Every change on this page went through the same pipeline: a board item becomes an agent working in its own isolated copy of the code, then a deterministic gate, then a review by a model from a different vendor, and only then does it land.

    Read the case study
  • AI & Machine Learning

    Fleet watchdog

    Our agent fleet reported panes as idle while they were mid-command. We tested a hosted decision model against an open local one on the same small eval, then shipped a watchdog that overrides the fleet's own status only when the model is sure.

    Read the case study
  • JarvisMCP, running
    Developer Tools

    JarvisMCP

    JarvisMCP gives AI agents one governed door into our company systems: CRM, search intelligence, infrastructure, memory and coordination. Agents find the capability they need, act through it, and leave a record. They never hold the keys.

    Read the case study

How we work

How a change reaches production

The same five gates for our own products and for yours. Nothing reaches your customers on the strength of a demo.

  1. 01 · Isolate

    Its own branch and workspace

    Every change starts in a separate copy of the code, so work in progress never touches what is live.

    git worktree add .worktrees/your-change
  2. 02 · Build

    Engineers with AI agents

    Agents write and test code beside us. They hold no passwords: every call they make goes through our gateway, which checks it and logs it.

    agent → gateway → policy · audit · call
  3. 03 · Prove

    Evidence, then review

    Tests, before-and-after screenshots of the running app, then independent reviewers. It does not move on until no serious finding is left.

    review: 0 high · 0 medium → pass
  4. 04 · Ship

    Deployed and checked live

    The pipeline builds and deploys. Then we check the running service itself, not just a green build.

    replicas 1/1 · image sha matches · health 200
  5. 05 · Watch

    Checked every night

    Each integration we run is tested against its provider every night, so a changed API is caught before your team notices.

    nightly: each integration vs its provider

Need a technical owner for a decision?

Bring the decision, stalled initiative, vendor proposal, or operating problem. We will help decide the next step and stay involved while it happens.