Consulting

From strategy to launch, we stay with you the whole way

The hard part of adopting AI is not picking a tool. It is breaking down how your company already works into something AI can follow. Our forward-deployed engineers (FDEs) join you for interviews, process mapping, data cleaning and prompt development, and hand the capability to your own people along the way.

200+Enterprise rollouts

95%+Participant satisfaction

25%+Efficiency gain

2,000+ hrsSaved per month, per customer

Six things that stall enterprise AI

From choosing the technology to landing it in daily work, we have helped companies through all of these.

The technology moves too fast

AI changes every quarter. It is hard to know where to start, or whether today’s choice still holds in six months.

QuarterlyTechnology guidance

The knowledge base never gets built

Data sits in spreadsheets, PDFs, several systems and personal folders, in no consistent format.

Built inAutomated data cleaning

The organization resists

People are unfamiliar with AI or afraid of being replaced, and no one inside has the mandate to push it.

95%+Participant satisfaction

The value is hard to prove

Without a clear return, it is difficult to justify the rollout to leadership, and the budget does not survive.

25%+Average time saved

The process cannot be articulated

Teams know where the friction is but cannot state the full logic and steps, so AI has nothing to take over.

20+Pain points surfaced on average

It does not reach existing systems

Data in ERP, MES and PLM never reaches the AI, and what the AI produces never gets back in.

MCPRead and write internal systems

Which processes go first: the TURBO test

Not everything deserves an Agent. Pick the highest-return cases first, because the first results are what carry the rest of the rollout.

TTakes the most timeTime-consumingTasks that eat a large share of the day are where people feel the change first.

UUsed by the most peopleUser-wideThe more people share the need, the further it spreads and the better it pays back.

RRuns oftenRepeatWork repeated daily or weekly compounds its savings.

BSuits human-AI collaborationBufferTasks a person can review let the team build confidence at low risk.

OCan be broken downOperableWork with clear steps and criteria is what AI can actually hold, and what makes an Agent stable.

Four stages, and we step back

Practical Agents for each department within three to six months, while the ability to build them transfers to your team. The goal is not one successful rollout. It is that you no longer need us.

Meet AI

Consultants come on site and map the real processes and pain points department by department.

20+ pain points surfaced on average

Use AI

We build the first Agents and fit them into existing workflows so the team gets used to working alongside them.

First results within four weeks

Own AI

Hands-on workshops transfer design and maintenance skills to your internal team.

Build in-house capability

Sustain AI

Consultants shift to an advisory role. Your team builds, uses and maintains Agents on its own.

Capability internalized

We build, we build together, you build

A three-stage model that moves a company from using AI to creating its own solutions with it.

Stage one

We build

A dedicated consultant builds three to five Agents for your highest-friction cases. Weekly interviews keep each one tied to real work, so the team feels the difference early.

Production-ready Agents within four weeks
Clearly scoped use cases
Full documentation for each Agent

Consultants planning a rollout with the client team

Stage two

Seed team training

Introductory and advanced workshops develop one or two prompt engineers per department. Participants build their own department’s Agents under guidance and finish able to design and maintain them alone.

10 hours across two workshop levels
Over 90% completion rate to date
Participant work ships to production

Stage three

You build

Seed members build independently and consultants move to technical advice. Along the way you establish your own AI knowledge base and development conventions, so the capability can be passed on and scaled.

Each department ships its own Agents
Consulting on demand
Your own AI knowledge base

Client staff building Agents on their own

We do not just build it, we teach your team

A successful rollout is not long-term dependence on outside consultants. It is a company that owns the capability. Over 2,000 people have completed our training.

Train prompt engineers

At least one seed member per department, able to design, build and maintain Agents independently. Over 90% completion, and five or more Agents built per person on average.

2,000+People trained