For organizations · 4–6 weeks
AI Operating Architecture Diagnostic
One organization. One consequential workflow. One operating architecture.
One organization. One consequential workflow. One operating architecture.
For
CEOs, COOs, CIOs, CHROs, business-unit leaders and senior leadership teams, including leaders responsible for AI in owner-led and larger organizations.
For organizations preparing to introduce AI or already using it, and ready to design how it contributes to one consequential workflow or operating domain.
The question
How should people and AI work together here to improve performance, with clear responsibilities, connected context and sound judgment?
What you leave with
What you leave with
A practical AI operating architecture fitted to your chosen workflow or domain: what AI should carry, what people retain, how context moves through the work, who owns decisions and quality, and what capabilities people need.
A practical AI operating architecture fitted to your chosen workflow or domain: what AI should carry, what people retain, how context moves through the work, who owns decisions and quality, and what capabilities people need.
A prioritized 90-day action map: what to change first, who owns the next steps, and what evidence to gather before expanding.
A prioritized 90-day action map: what to change first, who owns the next steps, and what evidence to gather before expanding.
What’s included
Sponsor scoping around one consequential workflow or bounded operating domain
Sponsor scoping around one consequential workflow or bounded operating domain
Six to eight stakeholder interviews and review of selected workflows and work products
Six to eight stakeholder interviews and review of selected workflows and work products
One or two working sessions to examine options and refine the proposed design
One or two working sessions to examine options and refine the proposed design
A written operating architecture and prioritized 90-day action map
A written operating architecture and prioritized 90-day action map
An executive readout and one agreed revision round
An executive readout and one agreed revision round
Fee
from CAD $37,500 + GST
from CAD $37,500 + GST
from USD $30,000
from USD $30,000
4–6 weeks
4–6 weeks
Broader, multi-function scope by proposal.
Broader, multi-function scope by proposal.
Discuss a Diagnostic
Discuss a Diagnostic
What it isn’t: An implementation project, a workforce training programme, ongoing monitoring, a generic AI strategy deck, a tool procurement exercise or a compliance audit.
What it isn’t: An implementation project, a workforce training programme, ongoing monitoring, a generic AI strategy deck, a tool procurement exercise or a compliance audit.
What we work through
Performance that matters
Performance that matters
Identify where AI can improve the work, what success looks like, and where added complexity would outweigh the value.
Identify where AI can improve the work, what success looks like, and where added complexity would outweigh the value.
Deliberate delegation
Deliberate delegation
Clarify what AI and agents may carry, what people remain responsible for, and where review or escalation is needed.
Clarify what AI and agents may carry, what people remain responsible for, and where review or escalation is needed.
Context that carries forward
Context that carries forward
Connect the information, decisions and evidence people need across roles, handoffs and applications.
Connect the information, decisions and evidence people need across roles, handoffs and applications.
Judgment and confidence
Judgment and confidence
Establish where challenge, verification, confidentiality and privacy boundaries belong in the work.
Establish where challenge, verification, confidentiality and privacy boundaries belong in the work.
Capability and capacity
Capability and capacity
Identify how roles and workload should change, which human capabilities need to be strengthened or retained, and what learning and support people need to work effectively with AI.
Identify how roles and workload should change, which human capabilities need to be strengthened or retained, and what learning and support people need to work effectively with AI.
Learning from real use
Learning from real use
Define how results and people’s experience will inform adjustments, so the approach is recalibrated as it’s used and its gains compound, rather than simply rolled out.
Define how results and people’s experience will inform adjustments, so the approach is recalibrated as it’s used and its gains compound, rather than simply rolled out.
