Capabilities / Artificial Intelligence / Agentic AI & Automation
Agentic AI & Automation
Agents that read, decide, and act across your systems of record — with people in the loop and governance on every step.
01 — The problem
Agent demos are easy. Agents that survive the fourth integration, the first audit, and the hundredth exception are not.
Identity & permissionsAgents need scoped, auditable access to systems that were designed for people.
ExceptionsThe long tail of edge cases decides cost and trust. It needs design, not hope.
Observability & costWithout tracing and evaluation, nobody can say whether an agent is improving or drifting.
02 — What we deliver
Everything an agent needs to be trusted with real work.
01Use-case portfolio & value caseWorkflows ranked by value, feasibility, and risk, with a business case per release.
02Agent architecture & orchestrationSingle- and multi-agent designs, planning, tool use, memory, and failure handling.
03System integrationSecure connectors into SAP, Oracle, Salesforce, ServiceNow, and your data platform.
04Evaluation & guardrailsTask-level test sets, red-teaming, policy enforcement, and release gates.
05Human-in-the-loop designApproval steps, escalation paths, and interfaces people actually use.
06LLMOps & run supportMonitoring, cost control, model updates, and a team accountable for uptime.
03 — Reference architecture
Layered, observable, governed.
Model- and cloud-agnostic. We adapt it to your stack — Azure, AWS, or Google Cloud; OpenAI, Anthropic Claude, or Copilot.
GOVERNANCEPolicy & risk tiersIdentity & accessEvaluation gatesAudit trail
EXPERIENCE
Employee copilotsService portalsTeams / SlackAPIs
ORCHESTRATION
PlannerAgent registryHuman approval queueMemory
TOOLS & KNOWLEDGE
ConnectorsRetrieval / vector indexModel gatewayPrompt & policy store
SYSTEMS OF RECORD
ERPCRMITSMData platform
OBSERVABILITYTraces & replayQuality metricsCost per taskDrift alerts
04 — Engagement model
01 · Weeks 1–4AssessWorkflow discovery, data and access review, value case.
02 · Weeks 3–8ArchitectTarget architecture, risk tiers, evaluation plan.
03 · Quarter 1–2BuildFirst agent workflow to governed production.
04 · OngoingStaffManaged pod or embedded engineers to extend it.
05 · OngoingScaleAgent platform, CoE, and portfolio roadmap.
06 — Related insights
Agentic AI · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requiresData & Platforms · 18 Jun 2026Data readiness for agentic AI: six questions to answer firstGovernance · 21 Aug 2026Designing an AI governance operating model that does not slow delivery07 — FAQ
We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.
Agentic AI
Bring us the workflow your agents keep failing on.
We’ll map it, price it, and tell you plainly whether it is ready for autonomy.