Forward Deployed AI Engineer for B2B companies
A pragmatic AI engineer goes into your real processes, works as managers, engineers, buyers and service, and not just writes a strategy. The goal is simple: find bottlenecks, assemble working AI tools, integrate them into daily operational work, and leave the team with a manageable result.
What exactly do you get?
The focus is not on fashionable chat, but on the business process: faster KPs, better quality of technical answers, less manual search, context control, transparent guardrails and measurable effect for sales and operations.
Who suits?
- B2B companies with a complex product or a long sales cycle
- Manufacturers, integrators, EPC teams, equipment suppliers
- Teams where knowledge is scattered between CRM, mail, PDF, Excel, ERP and heads of engineers
- Owners who want an AI-solution of responsible implementation, not an experiment without adoption
Commercial results without unnecessary theory
AI-copilot for managers and presale
Search by technical database, contracts, specifications and catalogs
Automation of the initial qualification of applications
Generation of CP drafts, letters, follow-up and technical responses
AI agents for procurement, service, logistics and support
Quality metrics, access rules, logging and response control
How to launch
Discovery sprint: a map of processes, data, risks and quick wins
Prototype: the first AI circuit on real documents and scenarios
Integration: CRM, ERP, Google Sheets, email, catalogs, files, application forms
Rollout: team training, usage rules, quality measurement, follow-up scenarios
Input data to start
Questions before starting
How does Forward Deployed AI Engineer differ from AI consulting?
It does not remain at the presentation level. An engineer works alongside your team, gathers context, builds prototypes, integrates them into the process, and brings them to real use.
Where does implementation begin?
From a brief audit of processes and data: CRM, documents, business templates, applications, technical base, common mistakes, manual operations and expected business effect.
Is it possible to connect internal documents without leaking data?
Yes. The architecture is designed with delimitation of accesses, controlled sources, logging and rules that the AI itself can use in the responses.
When is the first result visible?
The first working contour can usually be shown in 2-4 weeks, if there is access to the data and the responsible owner of the process of the client side.
Do you need an engineering plan for your task?
Submit a brief description of the process, facility, or equipment list. Let's answer what data is needed for the first technical brief.