Business Tech Platform
What tech decisions does a business need to make, and who makes them?
This is the consultant's toolkit for the Platform P — not engineering depth (that lives in Platform), but the business advisor's view of which tech decisions matter, what work chart activities a tech function performs, and how to evaluate readiness.
The Tech Work Chart
Every business has tech activities — the question is who does them and how much is automated.
| Activity | Human Role | AI Role | AI % | Trend |
|---|---|---|---|---|
| Data footprint audit | Defines what matters | Scans schemas, counts entry points | 60% | ↑ |
| AI integration | Selects use cases, sets governance | Readiness scoring, pilot execution | 45% | ↑↑ |
| Crypto integration | Risk tolerance, compliance decisions | Payment processing, smart contracts | 35% | ↑ |
| Tech stack selection | Trade-off judgment | Benchmarking, compatibility analysis | 30% | ↑ |
| Security and compliance | Policy, accountability | Monitoring, anomaly detection | 55% | ↑ |
The consulting frame: When assessing a client's Platform P, these are the activities to audit. The AI Consulting playbook shows how to run the diagnostic. This section provides the checklists.
Context
- Platform — Engineering depth for each technology layer
- Work Charts — The framework these activities map to
- Data Footprint — The commissioning instrument
- AI Consulting — The playbook for selling tech advisory
- Tight Five — Platform is one of the five