We are especially thankful for the leadership on last year's effort to launch our market-leading plan and the foundation-laying of our CIM platform. Our customer interaction management is now a board-level story, not a back-office ticket.
Most companies
don't need an AI strategy.
They need a diagnosis.
We help executives cut through AI noise, find the three bets that actually move revenue or margin, and ship the systems that deliver them. Then we run them, in production, for the long haul.
your stack already runs on
Microsoft
Adobe
NVIDIAInception
The board wants AI answers. Your team has five tools, two champions, and fifteen open tabs.
Most enterprises aren't failing at AI because the technology is hard. They're failing because nobody owns the whole picture, the strategy, the delivery, and the operating system around it.
Vendor sprawl, no throughline
Teams bought tools by department. Nobody owns the whole picture. The ROI story to the board is three slides of screenshots.
Shadow AI is everywhere
Sales is pasting customer data into public models. Legal found out last Tuesday. Compliance asked for a policy. Nobody has one.
Hiring is broken, in both directions
Recruiters are drowning in AI-written résumés. Your best people are quietly using AI to do two jobs. Performance reviews haven't caught up.
Pilots that never become products
The PoC worked in a demo. Then it met production data, compliance review, and a change request. It's been six months.
Models drift. Nobody notices.
The chatbot that launched with fanfare is hallucinating pricing. The vendor changed the underlying model. Your team heard from a customer.
Fear, not fluency
Half the org thinks AI will take their job. The other half is afraid to admit they don't know how to use it. Adoption is stuck.
Three ways in.
One throughline.
Most firms either sell you slides or sell you code. We do judgment and delivery, because the gap between the two is where most AI programs die.
We talk to your leaders, audit your stack, and come back with a ranked list of the three bets that matter most. You get a board-ready brief, a risk map, and a 12-month roadmap you can actually defend.
Pick the priorities from Diagnose and we ship them. Production agents, workflow automations, the governance wrapper around them, and the training so your people actually use what we built.
Most AI projects fail after launch, not before. We operate as your fractional AI team, watching drift, updating prompts, tracking spend, reporting to the board, and fixing what breaks before a customer notices.
Pre-built accelerators for the most common asks: AI résumé triage, sales-call intelligence, close-the-books automation. Faster to stand up than custom, built on the same foundations.
Trust-based talent for the agentic era.
myndQ is our flagship workforce product. AI-conducted interviews for job seekers and verified, industry-ready talent infrastructure for hiring teams. Built for Blockchain, XR, Cloud, and Agentic/Generative AI engineers, the roles you can't staff with a traditional recruiter.
Hire verified AI talent in 14 days
Vetted Agentic engineers, Cloud architects, and Generative AI specialists. Trust infrastructure built in, no more résumé roulette.
Practice interviews, conducted by AI
Personalized pathways for career pivots into emerging tech. Partnered with NVIDIA and industry-ready curricula.
What actually happens when the work ships.
They told us what not to build. That was worth more than what they built.
First consulting engagement I've had where the deliverable ran in production on day one.
Impressed by their transformative vision, especially for a chat-based personalized digital service.
No fluff. No slideware. Just the work.
A typical engagement moves in four beats. You always know what week you're in, what we're shipping, and what it costs.
Interviews, stack audit, data-flow review, opportunity ranking. Ends with a board-ready brief.
- Leader & operator interviews
- Shadow-AI inventory
- Top-3 opportunity ranking
Pick 1–3 bets. Agree on outcomes, timeline, and the done-done definition. Fixed-fee or outcome-linked.
- Outcome contract
- Risk register sign-off
- Joint delivery team
Two-week sprints. Production code from week two. Your team pairs with ours, nothing leaves as a black box.
- Agents & pipelines
- Eval & guardrails
- Training & policy pack
Monitor, iterate, report. Your systems get better every month, instead of quietly rotting.
- Drift monitoring
- Monthly exec readout
- Expansion roadmap
Executive intelligence, on the record.
All insights →The 2026 AI Readiness Brief: what the 20% do differently
80% of AI projects fail to deliver value. We mapped where things break, what the leaders do, and how to close the gap between pilot and production.
Read the brief →The MetaData & Agentic AI Factory playbook
Two failure points every enterprise hits, and the success-pack architecture that solves them. Three weeks to a board-ready answer.
See the playbook →Omnichannel is a throughline, not a tech stack
Why CX transformation fails when it starts in the CMS. A blueprint for journey-first programs that boards can actually measure.
See the journey map →Ready to stop talking about AI and start shipping it?
Book a diagnostic. Three weeks. Fixed fee. You walk away with a board-ready brief and a ranked shortlist, whether or not we build the rest together. See what's in it →
AI Readiness Diagnostic
- 8–12 leader & operator interviews
- Stack and shadow-AI audit
- Data-flow & risk scoring
- Top-3 opportunity ranking with ROI
- 12-month roadmap & board brief