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. Our AI transformation consultants have worked with more than 500 companies, 200 of them manufacturers, as well as retailers, restaurant groups and public-sector agencies.
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
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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.
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.
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
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
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
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
Build an AI culture
One department’s success spreads company-wide until AI is an everyday tool. Customers average 75% department adoption and over 80% daily use.
75%Average department adoption
Ongoing support
Advisory continues after handover. Monthly refresher sessions, a live Q&A channel, and notice and training for every release.
OngoingSupport that does not stop
On site
EgentWrX and the companies rolling out human-AI collaboration
Across textiles, fasteners, precision machinery, chemicals, auto parts, electronics, food chains and the public sector.
FAQ
The five questions we hear most before a project starts.
- How are AI adoption consulting fees calculated?
- Consulting is quoted case by case, based on the scope of the rollout and the consultant hours involved. Scope covers how many departments take part, how many people will use the platform, and whether existing systems such as your ERP need to be connected. Consultant involvement is heaviest early on and tapers off as the capability moves to your own team. Book a free consultation and we will give you an estimate once we understand your needs.
- How long does an adoption assessment take?
- The first needs review takes about 30 minutes and covers your industry, departments, expected number of users and the workflows you want to tackle first. How long the architecture recommendation and scoped quote take after that depends on the number of departments, data sensitivity and how complex the system integration is. The consultant will walk you through the next steps after that first conversation.
- Can we adopt AI without an IT team?
- Yes. With cloud deployment we host and run the platform, so there is no server room to build or maintain. AI Agents are built by the people who know the workflows, not by programmers, and our consultants help them break those workflows down into AI SOPs. You only need a system owner or vendor to help with connection details when an existing system such as your ERP has to be integrated.
- Which department should an AI transformation start with?
- Start by choosing the work rather than the department. We use the TURBO rule to pick tasks: time-consuming, used by many people, repeated often, reviewable by someone, and built on clear steps. In practice, common starting points are purchasing, finance and quality assurance, where there is plenty of paperwork and the rules are clear. Once the first results are stable, the approach spreads to other departments.
- Are there government subsidies for adopting AI?
- There are several industry and digital transformation subsidy programs worth evaluating, but approval depends on the authority in charge and on the proposal itself, so we do not promise an outcome. What we help with is mapping your workflows and estimating the scale and benefit of the rollout, so the proposal is well grounded and the project can actually move forward once a subsidy is approved. Book a free consultation to find out which programs may fit your company.
Where to go next
Want every employee to have their own AI teammate?
A consultant will be in touch shortly.