Consulting operations
Design the system before wiring the tools
Build an AI operating layer your team can actually inspect.
Taz maps workspace layout, model routing, tool connections, retrieval pipelines, isolation boundaries, and human approval flows before a team starts wiring AI tools together.
The process
Design the connections before building them.
We move from the workflow a team wants to hand AI to a reviewable architecture the team can implement and maintain.
- 01Map
Inventory the tools, data sources, models, and human decision points in the workflow.
- 02Design
Define the architecture: what connects, what stays isolated, where models route, where humans approve.
- 03Validate
Walk the design through real tasks before building connectors.
- 04Document
Hand over an architecture map, connector spec, and approval-flow diagram the team can implement and maintain.
What we design
- Workspace layout — which tools connect, which stay isolated, and why.
- Model routing — which model handles which task at which effort level.
- Retrieval pipeline — which sources feed the model, how they are scoped, and what gets excluded.
- Tool orchestration — which tools the AI can call, in what order, with what permissions.
- Approval flows — where human review is required before actions reach production.
The architecture artifact
You receive a workspace map, a model-routing table, a retrieval pipeline design, a tool-permission matrix, and an approval-flow diagram. Each artifact is reviewable by the team that will maintain the system.
workspace: tool map | routing: model × task × effort | retrieval: source → scope → exclusion | approval: action → gate → owner
Architecture, not transformation
Taz designs bounded AI architectures for specific workflows. We do not promise organization-wide AI transformation, universal tool integration, or fully autonomous operation. A person still owns the architecture decisions, the approval boundaries, and the system's behavior in production.
What we make visible
Make every connection and approval visible before the first tool is wired.
Taz turns implicit AI architecture into explicit maps so the team that maintains the system can understand every decision.
Connection claritymap the sources
Routing logicmatch the task
Permission scopebound the action
Approval coveragename the owner
Industry scenarios
See the service in the work it is meant to support.
Illustrative planning scenarios, not client case studies or performance claims.
Higher education
Admissions prototype with retrieval pipeline and approval gates
Open scenarioReal estate portfolio