AdaptAI Solutions · AI consulting & engineering studio
AI advice is everywhere. Working systems are rare.
Strategy, engineering, and rollout from one studio. I map where AI pays off in your business, build the agents and automations that capture it, and stay until your team runs them without me.
Most AI projects die in the gap between “good idea” and “someone owns this every Thursday at 09:00.”
The work starts with a real process: support triage, phone intake, invoice handling, reporting, internal search, proposal drafting. Then comes the system that removes steps, routes exceptions, and gets owned by the team that runs it.
I sit with leadership to decide where AI fits the roadmap. I also write the MCP server, tune the assistant, and wire the workflow. The value is in closing the gap between the two.
02 · Services
One studio, three jobs.
Plain language for decision-makers, real depth for technical teams.
01
Advise
Decide what’s worth building.
AI opportunity map & roadmap
Where AI creates leverage in your business, what to build first, and what to skip.
Build, buy, or skip
Model, stack, and integration decisions matched to your data constraints and budget.
EU AI Act & governance
Risk classification, usage policy, and a documentation trail that keeps legal review short.
Workshops & talks
Sessions for leadership days and teams, demonstrated on live systems rather than slides.
02
Build
Ship the system, not the slideware.
Agents & workflow automation
Multi-step agents that plan, execute, and report: intake, routing, drafting, approvals, logging.
Voice & phone agents
Receptionists, intake lines, and follow-up calls that answer instantly and hand off cleanly.
Documents & back office
Invoices, contracts, and inbox attachments read, validated, and filed without retyping.
Knowledge assistants
Private question-answering over company documents, with citations back to the source.
MCP servers & integrations
Controlled assistant access to internal tools and APIs, permission-aware and auditable.
Custom apps
Purpose-built software for the workflows where off-the-shelf tools end.
03
Run
Make it boring by month six.
Evals & guardrails
Test suites, tracing, and monitoring that keep behavior reliable long after launch.
Training & handover
Your team learns to run, adjust, and extend the system. No black box, no dependency.
Documentation & runbooks
Prompts, tool definitions, deployment notes, and the Thursday-morning checklist.
Iteration retainer
A standing lane for improvements once the system is part of the routine.
If the work happens on a screen and follows rules someone can explain, it’s a candidate. The uncommon shapes are often the best projects. Describe yours and I’ll tell you if it’s buildable.
03 · Use cases
Concrete starting points.
Representative blueprints, not claimed results: the systems that ship first and prove value fastest.
Ops
Inbox-to-action workflow
Incoming requests are classified, enriched with account context, drafted into the right response, routed for approval, and logged back into the team’s system.
Fewer handoffs
Consistent first drafts
Clear exception queue
Voice
Phone intake that never queues
Calls answered instantly: the agent qualifies the request, books or routes it, and posts a summary where the team already works.
Answers around the clock
Clean handoffs to humans
Every call logged and searchable
Knowledge
Company knowledge assistant
Wikis, drives, and tickets are ingested into a private index. The team asks in plain language and gets answers with citations back to the source.
Answers with sources
Permission-aware retrieval
Stays inside company boundaries
Back office
Invoice-to-ledger pipeline
Invoices arrive by email, are read and validated against orders, and post to accounting. Exceptions land in one short review queue.
No manual retyping
Validation before posting
Review exceptions, not everything
Integration
Internal tool bridge
A custom MCP server lets approved assistants search company docs, read project state, create tickets, and run safe internal actions from one controlled interface.
Permission-aware tools
Auditable assistant actions
Reusable across teams
Research
Autonomous research agent
An agent takes a research brief, works through the sources, drafts the deliverable, and files the result with citations and open questions for review.
Cited source list
Draft ready for review
Open questions surfaced
04 · Process
Audit. Prototype. Ship. Embed.
01
Audit the workflow
Map the process, tools, permissions, data sources, and failure points. Pick the first useful build.
02
Prototype with real inputs
Build a narrow version quickly so the team can judge behavior against actual work.
03
Ship the reliable version
Add tests, guardrails, documentation, monitoring, and clean handoff paths.
04
Embed the habit
Train the users, refine the workflow, and leave the team with ownership instead of dependency.
DN
05 · Founder
Who you’re working with.
AdaptAI is run by one senior person across the whole engagement. The person who talks strategy with your leadership is the same one who writes the MCP server, tunes the assistant, and sits with your team on rollout day.
That changes what gets built. No handoff between a strategy deck and a delivery bench, no translation loss, no junior rotation. A direct working relationship with the person accountable for the result.
No. The first useful step is usually a workflow audit. If the best answer is “don’t build yet,” I’ll say so.
Who owns the code and setup?
You own the code, prompts, tool definitions, deployment notes, and runbooks. I build so your team can run the system without a black box.
Can you work with sensitive internal tools?
Yes, with the right boundaries. MCP servers, assistant tools, and automations should respect authentication, permissions, audit needs, and data handling rules from the start.
Do you handle EU AI Act and data-protection concerns?
Yes. Risk classification, data boundaries, and the documentation trail are part of the build, not an afterthought. Most workflow systems land in the lower risk tiers, and knowing that early keeps legal review simple.
Is this technical consulting or business consulting?
Both, in sequence. The business case decides what should be built. The technical work proves whether it can be made reliable.
What does an engagement cost?
The 20-minute audit is free. After that: a fixed-price prototype, then a scoped build. You always know the number before work starts.
07 · Start
Describe the workflow that’s slow. I’ll reply with the clearest next step.
A useful first message is specific: which process, which tools, what the team already tried. I reply within one business day.