Agentic workflow orchestration services for multi-step business processes
Most enterprise work is not one decision. It is eleven, in sequence, across five systems, with a person re-keying data between each one. We build the agent graph that runs that sequence deterministic where it must be, reasoning where it should be, and auditable everywhere.
Your team has a process that takes four days and touches six systems. Nobody can automate it with RPA because step three requires judgement, and the moment a supplier changes an invoice layout the whole script breaks. So it stays manual, and it stays a headcount line.
A production agent graph that owns the sequence end to end, escalates only the cases a human should actually see, and writes every decision to an audit log your risk team can read.
Core use cases
Claims intake agent
Reads the submission, pulls policy context, checks eligibility against your rules, and routes a complete, structured case to an adjuster instead of a pile of PDFs.
Multi-step approval agent
Validates a request against policy, gathers the approvals it needs in the right order, and closes the loop in your ERP chasing nobody by email.
Research & grading pipeline
Gathers sources, extracts the evidence, scores each item against your rubric, and hands a reviewer a ranked shortlist with citations attached.
Cross-system reconciliation
Compares records across ERP, CRM, and the warehouse system nightly, resolves what it can prove, and files the genuine exceptions with the evidence.
How it works
We are deliberately unromantic about tooling. These are the components that have survived production across our deployments chosen because they work under load and can be handed over, not because they are new. The panel alongside shows the kind of interface this pillar actually produces.
- LangGraph & multi-agent state machines
- Tool / function calling into ERP, CRM, and internal APIs
- Deterministic guardrails around non-deterministic steps
- Human-in-the-loop approval gates
- Full run-level tracing and replay
Other capabilities
Document & Data Intelligence
Agents that read, extract, validate and route unstructured documents invoices, claims, contracts, scanned forms and pipe clean structured data downstream.
Conversational & Generative AI
LLM copilots for customers, employees and partners grounded in your own enterprise data through retrieval, with citations and guardrails on every answer.
Applied ML & Predictive Intelligence
Forecasting, anomaly detection, risk scoring and recommendations the analytical judgement an agent needs before it is allowed to act on anything.
Enterprise AI Foundations
Data engineering, cloud architecture, MLOps and governance the unglamorous layer that decides whether anything above it survives its second year.
Common questions
Have a candidate process in mind?
Send us the shape of it. We will come back with whether this pillar is the right fit, a realistic timeline, and what it would be scoped as.