Agentic AI + workflow automation
Agentic AI and workflow automation, engineered for production.
From document-heavy operations to controlled AI workflows, connected systems and measurable engineering outcomes.
- Registered federal supplier
- UEI LM9RPK7F5FF5 · CAGE 25T46 · SAM.gov registration Active
- Founder-led engineering
- Led by a full-stack engineer with more than ten years of production experience.
- How we deliver
- Remote delivery · U.S. citizen principal · Travel available
Four service lines
What we build
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Agentic workflow engineering
Multi-agent and tool-enabled orchestration with typed contracts, evaluations and human review.
What you get
- Workflow design, task planning and DAG orchestration
- MCP and API tool integrations for agents
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Document intelligence and RAG
Document extraction, classification and validation, with grounded retrieval-augmented answers.
What you get
- Document ingestion, extraction and enrichment pipelines
- Classification and validation against your rules
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Systems and data integration
Custom APIs and backends, event processing, data pipelines and internal web tools on AWS and GCP.
What you get
- APIs, backend services and data synchronizers
- Event processing and PostgreSQL and MongoDB pipelines
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AI-assisted QA and browser automation
Playwright and MCP browser automation, regression harnesses and CI/CD quality gates.
What you get
- End-to-end and regression test automation
- Agentic browser sessions with Playwright and MCP
Document-heavy operations
Illustrative use cases
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Document and case intake
Classify submissions, extract fields, validate them against rules and route exceptions to a reviewer.
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Knowledge and policy retrieval
Traceable internal search over approved documentation, with citations and human review.
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Operations workflow integration
Records and status synchronized across APIs, databases and existing administrative systems.
Bounded engagements
Ways to engage
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2–4 week AI prototype
A narrow workflow demonstrated against measurable success criteria, on approved data, with handoff documentation.
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Document and knowledge pipeline
Sources connected, governed ingestion and retrieval built, and checks and human review added.
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Modernization component
An API, data synchronizer, service migration or case-processing module, delivered within an existing platform.
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QA automation sprint
Critical paths automated, with regression evidence integrated into your existing CI/CD.
From outcome to handover
How we work
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Define the outcome
We start from the decision or process you want to change, the data it may use and the acceptance criteria a good result must meet.
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Design for production
Architecture, data flow and failure modes are settled before code — what runs where, what it costs, how it is observed.
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Build with evaluation
Automated tests and schema validation, and for AI work critics and evaluators, run on every change, with human review where it matters.
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Hand over cleanly
You receive typed, tested, documented code, with the observability and runbooks to operate it.
Evaluation + governance
How Enfav reduces delivery risk
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Measured on every change
Critics and evaluators run on every change against the acceptance criteria, beside the automated tests and schema validation the rest of the software gets, so quality is measured rather than assumed.
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Traceable by design
Typed JSON contracts, retries and evaluations leave a record of what each workflow decided and why, for the reviewer who has to trust it.
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Human review where it matters
Human review steps, acceptance tests and documented human-in-the-loop controls, scoped on approved data, as appropriate to the work.
For government buyers and prime contractors
Enfav LLC offers agentic AI and software engineering to government agencies, directly or as a subcontractor and teaming partner to prime contractors.
UEI LM9RPK7F5FF5 · CAGE 25T46 · SAM.gov registration Active
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