Ship AI. To production. With your team.
Get your AI from pilot to production in 90 days. Governed, with ROI you can prove.
About 2 minutes to answer · Free to view · Email signup to copyFor founders, busy technical teams and business owners without technical staff.
Sound familiar?
A team too busy to evaluate or build.
No technical staff to own the AI decision.
Map. Prove. Harden. Ship.
Define the value before writing code. Prove the workflow in a sandbox, build security in from day one and give your team clear ownership. Prove and Harden overlap.
90 days is a planning horizon. Scope, data access and evidence shape the pace. If the value is not there, stop before committing to a build.
Map
Weeks 1–2Pick one use case, map secure data flow and define how to measure its value. Stop early if it is not worth building.
Prove
Weeks 3–6Test a focused prototype on approved company data in a secure sandbox. Compare it with the baseline.
Harden
Weeks 5–8Build access controls, personal information redaction, logging and human review before real users.
Ship
Weeks 8–12Roll out to users, train the internal owner and monitor quality, changing model behavior and cost.
A Trial Sprint scorecard for your use case.
Assess business impact, technical feasibility, data readiness and governance burden. Get a Go or No-Go recommendation with the evidence still needed and a two-week diagnostic plan.
The generated scorecard is a starting assessment. Anova can work through the Trial Sprint with you to gather evidence before a build decision. If a use case does not make financial sense, the right outcome is a documented decision not to build.
Build your 90-day AI roadmap.
A useful first step, built from your answers. Free to build and view. Email signup to copy.
Answer eight questions about your workflow, tools and team. Get a personal plan for what to test, what to secure and what deserves to ship.
- What is holding you back
- Your stages with actions and a weekly plan
- A Trial Sprint go/no-go scorecard for your workflow
- Answers to your questions about the plan
Free to build and view. Email signup to copy.

Senior technical ownership, not another layer of handoff.
The work is judgment: what to build, in what order, and which technical decisions become expensive to reverse. Architecture, AI governance, interoperability, hiring, and the delivery systems that make a team effective.
At Anova Technology you work directly with a senior engineer who has made these calls under real regulatory constraints — someone who translates a business constraint into a technical plan, says plainly what each tradeoff costs, and owns the result rather than routing it through layers of handoff.
Allen Lee
Founder and Principal Engineer
Anova is led by Allen Lee — ~15 years in regulated healthcare and life-sciences software, including Director of Engineering at Adaptive Innovations (healthcare operations), eight years at Medidata Solutions on clinical-trial systems, and regulated medical-device software at LinusBio — with cross-industry range at Google and EA.
Start with a concrete sprint, not an open-ended retainer.
The usual entry point is a 2-week fixed-fee sprint: Architecture & Sequencing Sprint. It gives you a prioritized technical and compliance sequence before any larger Fractional Head of Engineering commitment.
Architecture & Sequencing Sprint
You leave with a prioritized technical, compliance, and AI-governance roadmap you own — whether or not we continue together.
Build my roadmapFractional Head of Engineering
Ongoing executive engineering capacity — architecture, AI governance, hiring, and delivery systems on retainer.
Book a fit reviewRegulated AI Engineering & Governance
Governed AI adoption with PHI boundaries, provenance, and human-in-the-loop review for regulated workflows.
Book a fit reviewTechnical Due Diligence
Independent technical assessment and build-vs-buy guidance for founders and investors before a major decision.
Book a fit reviewProof, not promises.
4-month estimate → shipped in 2 months
Psycle Health integration. Estimated for 6 engineers, delivered by 1.
45-min patient call → automated
Fully manual workflow, now as-needed only.
Allen's presence has significantly enhanced our team's operations, and I'm so grateful to have come across him. He is such a hard worker and has such a high standard of excellence. He will do whatever needs to get done in order to facilitate the function of the work he's providing and meet deadlines. I am 100% Team Anova Tech and Allen!
Full case details and client references available in a fit review.
Engineering Leadership Insights for Regulated Software

Fractional Head of Engineering vs fractional CTO: what regulated teams actually need
The two roles are not interchangeable. A practical guide to which one a founder-led healthcare or regulated software team needs at each stage.

A governance checklist for AI in PHI-bearing systems
PHI boundaries, provenance, and human-in-the-loop are the three controls that decide whether an AI feature in healthcare is shippable. A practical checklist for engineering leaders.

What health systems actually ask in a vendor security review
The security review is where healthcare deals stall. What enterprise health system reviewers ask, why teams fail it late, and how to be ready before the questionnaire arrives.
Questions buyers usually ask before starting.
Answer eight questions about your role, team, workflow, tools, AI attempts, timeline and budget, then one or two focused follow-ups. Get a personal 90-day roadmap with actions and a weekly plan, build a Trial Sprint scorecard and ask questions about your plan. The builder is free and stays on this page. Build and view your roadmap without signup or a call. Email signup is required to copy your roadmap.
The generated Trial Sprint scorecard is a provisional assessment of value, feasibility, data readiness and governance, with a two-week plan to validate the evidence. It can recommend No-Go. The Trial Sprint gathers evidence before a build decision. The 90 days are a planning horizon, shaped by scope, data access, capacity and security requirements.
It is executive engineering leadership on a fractional basis — the judgment, architecture, AI governance, hiring, and delivery systems a team would get from a Head of Engineering or CTO, without the cost or commitment of a full-time hire. Anova owns the important technical decisions and the systems that make a team effective, not a fixed list of tasks.
Anova is an engineering-leadership firm, so the work is judgment, architecture, governance, and delivery systems first. We go hands-on where it has the most leverage — proving out an architecture, setting patterns, or unblocking a critical path — but the engagement is not sold as build hours or headcount.
By the decisions and systems that multiply a team rather than the hours logged. The right architecture choice, a governed AI rollout, a hire that raises the bar, or a delivery system that removes recurring friction is worth far more than any single feature. Leverage over effort is the operating principle.
Yes — regulated and healthcare teams are the core focus. Anova treats PHI boundaries, provenance, auditability, and human-in-the-loop review as design inputs, especially when adopting AI inside regulated workflows. Please do not send PHI or patient details through the contact form; we will set up an appropriate channel during the engagement.
The Architecture & Sequencing Sprint is a fixed fee for two weeks. The Fractional Head of Engineering retainer is monthly, with reserved hours and a three-month minimum. Technical Due Diligence is scoped per engagement, and Regulated AI Engineering & Governance is delivered inside a retainer rather than priced separately. Figures are shared in a fit review, once the scope is clear enough for the number to mean something.
Most engagements start with the sprint. It is a standalone engagement rather than a deposit, so the fee is not credited against a later retainer — you leave with a roadmap you own whether or not we continue.
Anova works with a small number of teams at a time so each gets real executive attention. We are deliberate about conflicts and will flag any concern before an engagement begins. The fit review is where we confirm there is no conflict and that the capacity is there to do the work well.
Anova’s AI implementation work is built for founders and technical leaders whose teams cannot ship fast enough, and business owners who want AI without the technical burden. For ongoing engineering leadership, Anova works with founder-led software teams, with its deepest focus in healthcare and regulated markets where architecture, compliance, interoperability, and AI governance need careful judgment.
You share the business context, the technical situation, and what is at stake. In 30 minutes, Anova gives you a clear read on the top architecture and compliance risks, confirms fit and conflicts, then recommends the right next step.
When there is fit, that next step is usually a 2-week fixed-fee sprint: Architecture & Sequencing Sprint. When there is not, you still leave with an honest recommendation.
Start with a plan.
Build with a technical partner.
Once your first workflow is proven, the next questions are about scale, architecture, team capacity and operations. Get in touch about Embedded Partner support for ongoing engineering guidance and production ownership.
Start with your answers. Free to view. Email signup to copy. About 2 minutes.