Agentic AI Systems
Multi-agent systems that carry out back-office decisions under policy guardrails, with a human reviewer on the exceptions and an audit trail on every action.
- Timeline
- 4-6 weeks (working agent), 8-12 weeks (production)
- Team
- architect, MLE, FE, BE, PM; security reviewer on demand
- Typical stack
- Control plane: LangGraph/Temporal/Argo; retries/backoff/idempotency. Models: OpenAI/Claude/local; routing and fallback policies. HITL: reviewer UI; reason codes; audit and retention windows. Identity: SSO (OIDC/SAML); roles/attributes; least-privilege. On-prem/GovCloud or VPC; secrets in KMS; policy repo in Git.
What you get
- Orchestration graph in code (agents, tools, policies) with retries/timeouts
- Evals suite: jailbreak, toxicity, groundedness, accuracy gates
- Guardrails and safety gates enforced in CI and runtime
- Reviewer console (approve/annotate/retry) with audit trail
- Run log and trace viewer (inputs, prompts/versions, tool calls, outputs)
- Budget caps and alerts; cost per transaction export
Outcomes
- Eliminate manual back-office steps
- Policy-aligned actions with human override
- Traceable, explainable decisions with run logs
- Reviewer minutes per case ↓ 30-50%
- Cost per transaction capped and reported
Selected work
Prior authorization: 4.2 days → 6 hours.
5-agent clinical workflow: intake, clinical review, policy check, approval, notification. PII redaction and HIPAA audit trails enforced at the orchestration layer. On-prem deployment with SSO for 1,200 clinicians.
Multi-agent · HIPAA · On-prem
Planning cycle: 3 days → 4 hours.
6-agent supply-chain planner: demand forecasting, inventory optimization, supplier coordination, logistics routing, risk assessment. Expedited shipping ↓38%. Executives get real-time visibility into agent decision logic.
Multi-agent · Forecasting · Supply chain
What we need from you
- Process maps or workflow documentation
- Sample data and edge cases
- Policy docs, consent and approval thresholds
- SME availability for evaluation
- Target KPIs (time saved, accuracy), model/tool constraints
Proof points
- Before/after KPI chart on target workflow
- Evals summary with thresholds and deltas
- Run-log sample (redacted) and trace screenshot
- Cost per transaction and budget adherence
- Policy mapping table (policy → runtime check)
- Critical CVEs at release → 0