Agenctic systems promise massive benefits through replacing humans in boring, monotonous office work, without major systems' redesign. However, as any new field, it is rife with risks, and the temptation to procure a massive project with unclear deliverables is significant.
Business Abstraction offers an alternative: a project that is:
Minor in scale: one consultant for 45-60 days.
Controlled costs: capped at 60 person/days
Heavy on training and knowledge transfer
Transparent and provides bi-weakly report against business objectives
A narrow, low‑risk workflow (≤8 steps) with an explicit action library, human‑in‑the‑loop approvals, full audit logs, rollback/compensation, and spend/time caps. Runs on your stack (Copilot Studio/Azure AI Foundry Agents, Vertex AI Agent Engine, or Agents for Bedrock).
Workflow spec & action library (OpenAPI/MCP/first‑party tools)
Guardrails (approvals, limits, kill switch), observability & incident playbook
Evaluation harness: task success, exception rate, cycle time, $/task
Handover: code/config, dashboards, and training
Task success ≥ X%; exceptions ≤ Y%; P95 cycle time − Z%
All actions logged; 0 unauthorized actions
Report cadence: weekly checkpoint; bi‑weekly KPI/Risk report
Aligned to NIST AI RMF
We do not ship unsupervised actions for irreversible steps.
Completed B-CAID: Business Centric AI Design
Approved platform; SMEs (~2 hrs/week); identity/SSO; access to target systems.
Instead of picking an existing business process and try to automate a specific step - conduct a 10-day B-CAID: Business Centric AI Design to understand the best ways to apply effort
Instead of trying to demonstrate Agentic magic - solving your real problems
Instead of delivering against KPIs defined for human workers - deliver against process-agnostic business metrics
Instead of bringing dozens of staff from the bench - get your people involved
Instead of initiating a major project - starting small, deliver promptly and keeping you in the loop.