Was most of your stack bought, acquired and cobbled together? Were the few pieces you built, now out of date?
With AI, the way you can deliver has changed. Let us help you inventory your portfolio, create a risk mitigated execution plan that prioritizes and rearchitects your processes and technology to differentiate you, save you real dollars while you take control back of your company operating system and leverage the benefits of AI. If you need help in the execution of the plan we can also help accelerate you on that journey.
Four phases, in order, with a decision gate at each one.
Nothing is rebuilt on enthusiasm. Every system moves through the same evaluation, and most of them will not move at all — the value of the exercise is knowing which ones should, and in what order, before the first line of code is written.
Inventory
Every system, in one register: purchased, homegrown, and shadow. Owner, renewal date, annual cost, integration surface, data gravity, and who screams if it stops.
Replaceability scoring
Each system scored on what AI-assisted software engineering can credibly reproduce and operate: logic complexity, compliance load, integration depth, and the real cost of owning it afterward.
Sequenced roadmap
The order of conversion, with dependencies, staffing, tooling, and the rollback position for each move. Cost and risk modeled against staying put.
First conversion
One system, built and shipped with your team in the room — the reference implementation that sets the patterns, the evals, and the support model for everything after it.
Engagements, from assessment through delivery.
Most clients start with the audit. What follows depends entirely on what it finds — advisory for some, hands-on build for others, and enablement when the right answer is that your own team does the work.
Tech stack inventory
The full register of what you run, what it costs, and what depends on it. Frequently the first time the estate has been written down in one place.
AI readiness assessment
An honest read on team capability, data access, security posture, and governance — what has to be true before conversion is responsible.
Migration strategy roadmap
The sequenced plan: what converts, in what order, at what cost, with what fallback. The primary deliverable of the audit.
Hands-on AI-assisted software rebuild
Direct delivery of the systems the roadmap prioritizes, built with your engineers rather than around them.
Fractional CTO / advisory
Standing technical judgment for leadership teams making irreversible platform decisions without an in-house peer to test them against.
Skills / capabilities assessment
An honest inventory of what your team can build and operate today, where the gaps sit, and which roles have to change for the conversion to hold.
Tooling selection
Agents, coding assistants, evaluation harnesses, and observability chosen against your constraints — procurement-ready, with the tradeoffs written down.
TCO analysis
Total cost of ownership on both paths: license and renewal spend against build, hosting, and support cost — with the assumptions that actually move the number held to scrutiny.
Support, security, & monitoring
The operating model for software you now own: on-call and escalation, access and audit controls, dependency and patch discipline, plus the telemetry and alerting that make failures visible early.
What the audit puts on your desk.
Fixed scope, fixed fee, fixed end date. Priced per engagement after a scoping call, because a 40-system estate and a 400-system estate are not the same job.
Estate register
Every system with owner, cost, renewal, criticality, and integration map. Yours to keep and maintain.
Replaceability scorecard
Per-system scoring with the reasoning shown, so the conclusions survive scrutiny after I leave.
Conversion roadmap
Sequenced waves with dependencies, staffing, tooling, and rollback positions.
Financial model
Build-and-operate cost against renewal cost, with sensitivity on the assumptions that actually move the number.
Executive readout
A ninety-minute session with the leadership team and a document that stands on its own without me.
Re-architect the future end to end, one step at a time.
Stovokor.ai exists because what AI-assisted software engineering can now accomplish changes what small to mid-market organizations can dream and execute. Start with the right mindset, vision and leadership, then invest in the right tools and talent for execution.
The process helps to inventory, prioritize, cost estimate and chart a path to take back your software destiny and unlock efficiencies and wasted costs. It also helps you identify gaps, identify and mitigate risks as well as plan for a successful AI transformational change.
Engagements are run directly, not staffed out. That constrains volume but you get a bespoke plan that fits your goals, culture and overall timeline.
Send the estate. Get the read.
A scoping call runs thirty minutes: what you run, who runs it, what renews next. You leave with a scope and a fee, or with a reason not to bother.
info@stovokor.ai