Enterprise knowledge & RAG
Ground answers in approved policies, procedures, technical records, and product knowledge with evidence-linked responses.
Focused AI & automation pilot
Forward-Deployed AI & Automation
Turn one high-value AI or automation idea into a production workflow your team can operate and extend.
What forward-deployed means
One accountable lead engineer works alongside your business and technology teams.
The lead is backed by Monic data, automation, and software specialists.
The work is measured by workflow impact—not the existence of a demo.
Where the model fits
Five practical starting points.
We lead with knowledge, documents, and workflow automation while retaining the wider engineering capability needed to reach production.
Intelligent document workflows
Classify, extract, validate, and route forms, claims, reports, invoices, and emailed requests.
Agentic workflow automation
Let an AI agent interpret context while APIs, UiPath robots, and people execute controlled steps.
Data & analytics agents
Provide natural-language access to governed warehouses, reporting marts, and defined business metrics.
Migration accelerators
Support schema mapping, transformation analysis, data-quality investigation, test generation, and validation.
From opportunity to operation
A bounded commercial progression.
Qualification
Free 30–45 minute callConfirm the workflow, sponsor, access, and whether FDE is the right model.Discover
Indicative 1–2 week diagnosticMap the workflow, assess readiness, select a pilot, and define measures.Prove
Indicative 6–8 week pilotBuild one bounded workflow on approved representative data and measure it.Productionise
Scoped project or retainerHarden, integrate, roll out, monitor, document, and transfer capability.FDE FAQs
Useful distinctions before we talk.
What is a Forward Deployed Engineer?
A customer-embedded engineer who works with business and technology teams to discover a high-value problem, design and build the solution, integrate it with real data and systems, and guide it into production use.
How is FDE different from staff augmentation?
Staff augmentation supplies capacity under the client's direction. A forward-deployed engagement begins with a business outcome and gives the lead engineer responsibility for discovery, solution design, implementation, measurement, and the production path.
Does an FDE only build chatbots or RAG systems?
No. Governed RAG is one use case. The model can also cover document workflows, data and analytics agents, AI-assisted operations, and migration or integration accelerators.
Can AI agents work with existing RPA robots?
Yes. The agent can interpret context and recommend the next step while APIs or software robots perform controlled actions in enterprise and legacy systems. Material actions remain subject to human approval.
Do you publish a standard FDE price?
No. The diagnostic and pilot are scoped around workflow complexity, data access, integrations, evaluation, and the intended production environment.
Start with the work
Start with one workflow worth improving.
Tell us where judgement, unstructured information, or disconnected systems make the work difficult to automate.