The AI transformation team
you were about to hire.
Three senior practitioners — AI architect, QA lead, and delivery PM. We run discovery, build the framework, enable your team, and hand over a system they own. Fixed scope, 12 weeks.
Is this your company?
If any of these land, the discovery call is worth 45 minutes.
- → Posting (or about to post) an AI transformation, AI enablement, or Head of AI role
- → Developers already using Cursor, Claude, or Copilot — but every team member is doing it differently
- → No shared standard: teams reinventing the same documentation, prompting patterns, and agent setup across projects
- → No one internal who can own the full lifecycle from discovery and architecture to QA and team enablement
- → Aware that a senior hire takes 3–6 months to find and 3 more months to ramp — you need results in a quarter
"Every practitioner in this team runs an active company and ships real systems to real clients. We don't advise on transformation from the outside — we do it ourselves, every day. That's not a positioning line. It's why we know what works and what doesn't."
— Serhii, Founder
Credentials, not slide decks.
Three practitioners who run active companies and ship production systems. Not ex-consultants who now give advice — people who do the work today.
Voice agents, RAG systems (0.92+ faithfulness), document intelligence. Regulated industries: DORA, FCA, MiFID II. Runs Intellectum Lab + DataFlux Software.
11% → 0.7% flake rate. $10M+ saved across projects. FinTech/iGaming clients: Favbet, Sport Bank, Ledgr Finance. Runs Resolvery.io.
One is a certified Claude Code Ambassador. All frameworks are Claude-native and readable in plain English. We consult on what we practice.
One quarter.
Running independently.
Fixed scope, fixed price, full handover. Your team runs the system independently by week 12 — we don't create dependency.
Book a free discovery callDiscovery
Stakeholder interviews, codebase and workflow audit, current AI tooling assessment. Deliverable: transformation roadmap.
Implementation
Build the standardization framework — CLAUDE.md, agent documentation, workflow standards for your stack. Pair programming sessions. QA pipeline assessment.
Enablement
Your team runs independently. Documentation complete. Walkthrough sessions per system. Handover.
Retainer (optional)
Ongoing optimisation, new workflow builds, and architecture reviews. Available on a monthly basis after handover.
How engagements are structured
Start with a discovery sprint or go straight to the full engagement. We scope the right path in the first call.
Discovery & Roadmap
A standalone starting point. We map your stack, audit current AI tooling, and deliver a written transformation roadmap — before any commitment to a full engagement.
- Stakeholder interviews (3–5 sessions)
- AI tooling and workflow audit
- Transformation roadmap — written, prioritised
- Engagement scope if you proceed to implementation
Full Transformation
The complete 12-week engagement. Discovery through to handover — your team runs independently by week 12.
- Three-practitioner team (AI architect, QA lead, delivery PM)
- CLAUDE.md standards + agent deployment
- Pair programming sessions with AI architect
- QA pipeline transformation + team enablement
- Full documentation — team runs it at handover
Retainer: Optional retainer available post-engagement
Retainer
Post-engagement support for ongoing optimisation, new workflow builds, or continued QA and architecture reviews.
- Monthly optimisation session
- New workflow or framework build per cycle
- Same-day turnaround on critical fixes
- Priority access to the practitioner team
Common questions
Discovery call is free (45 min). We scope the engagement in the first conversation.
Three practitioners. One engagement. Full lifecycle.
Discovery + strategy + PM → AI architecture + production deployment → QA transformation + team enablement. No single hire covers this lifecycle.
Serhii Sviridenko
Delivery Lead · BA · PM15 years in FinTech and data science. I run discovery, stakeholder management, and delivery coordination — the dirty work of getting access, running meetings, and managing timelines so the technical practitioners can focus on the build. I've spent my career translating what businesses need into what systems actually do. That's the same muscle that makes transformation work.
Viktor Andriichuk
AI Architect10+ years in AI and data engineering. 50+ production deployments — voice agents, RAG systems (0.92+ faithfulness), document intelligence for regulated industries. Passed audit review for an EU financial firm: DORA, FCA, MiFID II compliant, 0 compliance issues. Runs Intellectum Lab and DataFlux Software. EU Commission TWG6 Expert. 100% client success rate on Upwork.
Volodymyr Momot
QA Transformation LeadClaude Code Ambassador, certified through Anthropic Academy. CI pipeline: 52 min → 13 min. Flake rate: 11% → 0.7%. $10M+ saved across client projects. FinTech and iGaming clients: Favbet, Sport Bank, Ledgr Finance, Payori. Runs Resolvery.io. 4.9 on Clutch, 100% Job Success on Upwork.
Not hypothetical. Already running in production.
Every claim AFTA makes in a transformation engagement is backed by a practitioner who has shipped it in their own company. We consult on what we practice. We build what we advise.
Across the AFTA practitioner team — voice agents, RAG, document intelligence, compliance-grade systems. Not demos. Not notebooks.
Fixed-scope engagement. Discovery → implementation → enablement. Your team runs the system at handover — no ongoing dependency on AFTA.
One is a Claude Code Ambassador certified through Anthropic Academy. All three run Claude-native workflows in their own companies today.
· Every engagement is built on Claude, Anthropic's AI platform
Tell us about
your transformation.
Book a free 45-minute discovery call. We'll map your AI tooling landscape, identify the gaps, and scope what a 12-week engagement looks like for your team — no commitment required.