Automation / ScaleMake decisions and actions
Make decisions and actions
operate at the speed of agents.
We design and orchestrate agentic ecosystems. Multi-agent systems take on coordinated work — under human oversight, instrumented, governed, and built to compound.
A typical 13-week Automation engagement, mapped.
Duration 12–14 weeks · depending on organization size
Phase 01 — Architecture / Weeks 1-3
Phase 02 — Orchestration / Weeks 4-7
Phase 03 — Roll-out / Weeks 8-11
Phase 04 — Evolution / Weeks 12-13
Client
Architecture review
Risk tolerance setting
Decision gates
Failure mode review
Override protocols
Shadow run approval
Canary launch
Production cutover
Incident response
Quarterly review
Roadmap inputs
Ownership transition
QLC
Strategists
Strategists
Reference architecture
tool selection
Governance design
observability spec
Role definition
handoff design
Failure mode tests
hardening review
Shadow run analysis
canary monitoring
Full deployment
runbook authoring
Eval reviews
roadmap planning
Capability gaps
platform extensions
QLC
Agents
Agents
Reference architecture from constraints and budget.
Existing-system inventory and connection plan.
Policy-to-control translation.
Multi-agent coordination loop with shared memory.
Per-agent boundaries, tools, escalation paths.
Adversarial tests against orchestration loops.
Staged release coordination — shadow, canary, full.
Real-time observability stream and dashboards.
On-call automation with human escalation.
Golden dataset evolution, criteria drift detection.
Surfaces candidate next agents from usage data.
Registers new agents into the reusable catalog.
Deliverables
End of WK 3
PDF + Code + Diagrams
End of WK 7
Code + Test Suite
End of WK 11
Deployed + PDF Runbooks
End of WK 13
Notion DB + PDF
Client
Architecture review
Risk tolerance setting
Decision gates
QLC Strategists
Reference architecture
tool selection
Governance design
observability spec
QLC Agents
Blueprint Agent
Reference architecture from constraints and budget.
Translates organizational constraints, budget envelopes, and risk tolerance into a reference architecture — tool choices, data plane, agent topology, and the governance surface that wraps it all.
Integration Mapper
Existing-system inventory and connection plan.
Catalogs every system the orchestration will touch — CRMs, dashboards, data warehouses, identity providers — and produces a typed connection plan engineering can implement against.
Governance Compiler
Policy-to-control translation.
Takes plain-language governance policies and compiles them into runtime controls — access checks, rate limits, audit hooks — embedded in the orchestration layer from day one.
Deliverable
Reference Architecture + Governance Spec
End of WK 3
PDF + Code + Diagrams
The architecture proposal in one package — typed connection plan, agent topology, governance-as-code, and the observability surface. Engineering can ship against it; leadership can defend it.