Appiah AI
Services
From AI ambition to operating capability.
Structured engagements for leaders who need practical systems, not theatre. Each service is designed to leave behind reusable assets, internal capability, and a clearer operating model.
AI opportunity mapping
A focused assessment of where AI can improve decisions, service quality, cycle time, cost, or knowledge reuse. Output: opportunity map, value cases, risk register, and delivery sequence.
Agent and assistant design
Role-specific assistants and agentic workflows for research, operations, support, analysis, compliance, and knowledge work. Output: prototypes, evaluation criteria, escalation rules, and rollout plan.
Retrieval systems
Practical knowledge systems that connect models to documents, policies, cases, and structured data. Output: source strategy, retrieval architecture, quality tests, and governance routines.
Workflow automation
Systems that combine AI with forms, approvals, queues, notifications, and existing tools. Output: process redesign, automation architecture, implementation roadmap, and measurement model.
AI governance and controls
Operating guardrails for security, accuracy, privacy, vendor use, auditability, monitoring, and change management. Output: governance handbook, approval workflow, and risk acceptance model.
Production delivery support
Hands-on support for teams moving from pilot to live use. Output: product backlog, technical acceptance criteria, release plan, adoption metrics, and executive reporting cadence.
Engagement models
Three ways to work together.
Every engagement starts by clarifying the business decision, system owner, data constraints, and production threshold.
2-4 week diagnostic
For leaders who need a clear view of what to build, what to avoid, and what production will require.
6-12 week delivery
For teams ready to ship a working AI workflow or internal product with testing and adoption support.
Quarterly partnership
For organisations building an AI operating capability across multiple functions or business units.