Too many ideas, no priority
Use pain, economics, and feasibility to freeze Top 1 with a business owner and acceptance metrics.
Solutions & Services · Business delivery
Business AI & Agent Workflow Implementation
Start with one high-ROI workflow that repeats every week. Connect knowledge, tools, rules, systems, and human decisions into an acceptable, operable, handoff-ready capability.
When it fits
When a demo is no longer enough
Knowledge cannot enter the workflow
Structure sources, rules, access, and citations so the knowledge base and Agent can answer, act, and leave evidence.
No one can operate the pilot
Add human review, evaluation, logs, cost controls, Runbook, and handoff so the client team can keep improving it.
What we deliver
A closed loop around one main workflow
We work together to
- Record current time, quality, errors, manual touches, and cost
- Break down process, knowledge, rules, exceptions, and human boundaries
- Build an Agent or automation flow inside the existing entry point
- Compare before and after with real samples, UAT, and business metrics
You keep
- Spec, Eval, and acceptance criteria
- Runnable Agent, workflow, and knowledge assets
- Access, red-line, human-review, and exception rules
- Runbook, owner training, and a next-scenario roadmap
Engagement options
Validate quickly, then decide whether to go deeper
7-day fast validation
Directional evidence around one Top 1 scenario: Agent MVP, UAT, before/after comparison, limitations, and GO/NO-GO.
2–4 week standard pilot
When you need fuller evaluation, governance, acceptance reporting, Runbook, and handoff, move into a standard pilot and hardening.
Explore the FFDE 5·6·7 methodology → · How should you choose the first use case?
Start with one real workflow
We first map current work, wasted time, human decisions, and the acceptance bar before recommending a path.
Assess your real business workflow