Legal & complianceFeatured
Contract review
Checks contract clauses one by one against your own review checklist, flags risks with suggested edits, and produces a review memo.
- Cross-industry
- Manufacturing
- Professional services
Forward Deployed Engineers · building with you, on site
Forward Deployed Engineering (FDE)
FDE is a delivery model in which engineers embed in the customer's real environment and write code, build pipelines and work through edge cases under real constraints and production data. They own the whole journey end to end—problem discovery, architecture, integration and production go-live—until the system actually runs.
Core services
What we actually do
Business use-case diagnosis
Identify which processes suit AI Agents and quantify the return on investment
AI process design
Break business processes into task chains an Agent can execute
Rapid prototyping
Deliver a key-use-case MVP in 2–4 weeks and validate it on real data
System integration
Connect Agents to existing systems and data; handle permissions and boundaries
On-site iteration
Keep tuning prompts, workflows and tool calls; work through edge cases
Reusable templates
Turn what worked in the project into repeatable industry templates
Customer value
What you get
- Lower the failure rate of AI projects
- Shorten the path from idea to go-live
- Avoid "great demo, no impact in production"
- Get AI into real business processes
- Build a repeatable method for AI deployment
Delivery loop
The five-stage FDE delivery loop
- Discovery
Go deep into the business to find the real problems and high-value use cases
- Prototype
Quickly build a testable prototype on real data
- Deploy
Handle the edge cases and move to a stable production environment
- Productize
Distill common patterns into standardized product capabilities
- Scale
Feed capabilities back into the platform and reuse them across more use cases
Why FDE
Traditional consulting vs the FDE model
Traditional consulting vs the FDE model
- Traditional consulting
- One-off deliverable, then they leave
- FDE model
- Embedded co-creation until it really works
- Traditional consulting
- Results rarely become a product
- FDE model
- Lessons feed back into standardized product capabilities
- Traditional consulting
- Kept at a distance from production
- FDE model
- Works directly with real data and production constraints
Who it's for
Which use cases suit FDE
- Critical, complex, cross-system use cases with high value
- Requirements that are hard to pin down up front and need co-creation to clarify
- A need to validate fast and move into production
- A goal of building AI capabilities your company owns
Related Agent templates
Templates for this practice area
Legal & complianceFeatured
Document compliance review
Reviews official documents, policies and external materials for format, content and compliance, pinpointing each issue with a suggested fix.
- Cross-industry
- Energy
- Financial services
FinanceFeatured
Invoice management
Recognizes, verifies and files invoices in bulk, matches them to contracts and payment orders automatically, and surfaces exceptions at a glance.
- Cross-industry
- Manufacturing
- Retail
Related case studies
Projects in production
FAQ
Questions customers often ask
Other practice areas
AI Agent platform deployment
The technical foundation for enterprise AI · on-premises, controlled, manageable
Build an enterprise-grade AI platform so AI capabilities are managed, reused and scaled in one place.
Learn moreIndustry Agent solutions
Agent packs built from delivered projects
24 curated templates, and growing, replicated fast by department and industry into a Digital Worker system.
Learn moreData governance and knowledge engineering
Turn enterprise knowledge and data into assets AI can use
Organize knowledge, data, processes and permissions to improve answer quality and business accuracy at the root.
Learn moreAgentOps managed operations
Go-live is not the finish line—it is where operations begin
Continuous monitoring, evaluation and optimization so your AI systems keep creating value over the long run.
Learn moreAI training and practice simulation
AI transformation is an organizational challenge, not just a technical one
Build a workforce that can, will and does use AI well, and raise adoption of the platform and Agents.
Learn more
Start with an AI consulting workshop
In 1–2 weeks, we work with your business team to map processes, identify high-value use cases, estimate ROI and deliver an actionable transformation roadmap.