AI Consulting Services
Your AI strategy — built and deployed in weeks, not quarters
A boutique, senior-led team. We build production-ready AI systems on top of the tools you already use, train your people while we build, and hand over full ownership at the end — no lock-in, no six-month discovery.
The reality check
You've tried AI. A few people love it. Most aren't using it.
This is where most leadership teams start. Tools subscribed, a few wins in pockets, no unified path to production. It's normal — and it's fixable.
A few experiments in pockets
- Individual teams piloting ChatGPT, Claude, or Copilot
- One or two wins in isolated departments
- No shared standards for what "production-ready" means
Tools without a strategy
- Different tools in every function, no unified approach
- No governance, evaluations, or guardrails in place
- Leadership can't clearly answer: "what is our AI strategy?"
Prototypes that never ship
- Impressive demos that never reach real users
- Critical workflows still running manually
- Board asking: "what are we actually getting from AI?"
How it works
Five phases. One outcome: a system your team owns.
No six-month discovery. We move quickly through five focused phases and hand over a real, running system.
Week 1
Define
What happens
- Executive alignment on outcomes and constraints
- Interviews with the people who run the workflow
- Audit of current systems, data, and AI usage
Deliverable
Prioritized opportunity map + success metrics
Week 2
Design
What happens
- Solution architecture (retrieval, agents, tools, guardrails)
- Evaluation plan and human-in-the-loop touchpoints
- Scored roadmap using Impact / Effort / Adoption
Deliverable
Reference architecture + build plan
Weeks 3–6
Build & Deploy
What happens
- Production-ready build in your environment
- Integrations, evals, monitoring, and guardrails wired in
- Champions trained while we build — not after
Deliverable
Working system running against real data
Weeks 7–8
Transfer
What happens
- Documentation, runbooks, and architecture deep-dives
- Hands-on pairing with your engineers and ops team
- Hiring support for the roles you still need to fill
Deliverable
Full ownership — code, keys, and knowledge
Post-launch
Support
What happens
- On-call backup during the first weeks of production
- Office hours as your team scales the system
- Optional Phase 2 scoping — only if it makes sense
Deliverable
Confident, independent team
Our framework
We score every opportunity on three dimensions
Most consultants score AI ideas on Impact × Effort. That's how you end up with technically brilliant systems no one uses.
We add a third axis — Adoption Readiness — so the roadmap you get is the roadmap your team will actually run.
Impact
What does this unlock — time saved, revenue captured, risk reduced, decisions accelerated?
Effort
How hard is it to build, integrate with your current systems, and operate safely in production?
Adoption
Will your team actually use it? Governance, change management, and workflow fit — scored up front.
Why we're different
Boutique AI consulting, not a big-firm deliverable factory
Traditional consulting
- 6-month discovery before anything ships
- Score only on impact and effort
- Generic playbooks bolted to your business
- Implementation is your next problem
- Ongoing retainers to stay engaged
Dangerous Minds
- First working slice live in weeks
- Score on impact, effort, and adoption
- Architecture shaped to your domain
- We ship the first production slice
- You own it fully at handover
What we deliver
Five capabilities, one continuous engagement
AI MVP Development
We build production-quality AI minimum viable products designed for real users and real data. Our MVPs are architected for scale from the start — not throwaway prototypes.
Key Outcomes
- Working product in weeks
- Production-ready architecture
- Real user validation
Proof of Concept
Validate your AI hypothesis before committing major resources. We design focused experiments that prove feasibility, quantify impact, and build internal confidence.
Key Outcomes
- Feasibility validation
- Risk-informed decision making
- Stakeholder alignment
Team Hiring Support
We help you find, evaluate, and onboard the right engineers and data scientists. From role definition to technical screening, we build the team your AI product needs.
Key Outcomes
- Role definitions & job descriptions
- Technical interview frameworks
- Onboarding playbooks
Training & Knowledge Transfer
Your team learns everything — the architecture, the data pipelines, the decisions, and the tradeoffs. We deliver comprehensive training so ownership is real, not theoretical.
Key Outcomes
- Architecture deep-dives
- Hands-on pair programming
- Complete documentation
Transition Planning
We create a structured handoff plan that ensures your team is fully prepared to own, operate, and evolve the product. No loose ends, no gaps.
Key Outcomes
- Runbook & SOP creation
- Staged responsibility transfer
- Post-handoff support period
Solutions by audience
Tailored for the team you're building
Same agentic foundation, three focused playbooks.
Ways to engage
Three engagement tiers, one philosophy
Every tier ends the same way: you own everything we built.
Strategy Sprint
2 weeks
"We're exploring AI but aren't sure where to start."
- Opportunity map across your operations
- Top 5–8 use cases scored on Impact / Effort / Adoption
- AI readiness assessment (people, process, data)
- 12-month prioritized roadmap
FAQ