AI activity without direction.
Experiments, new tools, and board pressure are already creating activity. What is missing is one leader connecting it to the business model and deciding what should change.
Executive AI leadership with delivery behind it
Give your executives the AI guidance and executive support they need.
We help leadership define the AI-native version of the business, choose the changes worth making, and carry them into daily operations with the same embedded team.
See the path from mandate to production
Executive direction on top. An adoption foundation underneath. A delivery team connecting both.
Define the AI-native business
- 01Vision canvasWhat changes for the customer and the business model
- 02Future role mapThe outcomes people own and the digital labor beside them
- 03Work mapHuman-owned, AI-owned, shared, or retired
- 04Transition roadmapThe constraint, the sequence, and the business case
Accountable owner
Fractional Chief AI Officer
Sets the mandate, decisions, standards, and executive cadence.
Embedded delivery
One team carries it into production
Your people learn the new work while our team designs, builds, implements, and improves the systems beside them.
The result
Working systems inside the business
Each shipped workflow makes the next one easier because context stays.
Foundation for adoption
01Permission02Tools03Training04Oversight05Incentives
The company needs a point of view before the tools become a strategy
One accountable AI mandate.
A fractional Chief AI Officer owns that mandate: the future customer experience, operating model, human roles, digital labor, and economics of the transformation.
Start with the business, then work down to the workflow
- Vision canvas. Define the AI-native version of the customer experience and the business model that supports it.
- Future role map. Move people from task bundles toward clear outcome ownership, with digital labor supporting the work.
- Work map. Decide what stays human-owned, what becomes AI-owned, what is shared, and what should stop entirely.
- Transition roadmap. Sequence the changes around business value, readiness, and the bottleneck every other process waits on.
The foundation for adoption includes permission, tools, training, oversight, and incentives. Adoption becomes an operating system instead of a launch event.
The mandate can begin with AI, Salesforce, or both
One operating model
The starting point changes. The operating model does not: accountable leadership plus a team that can redesign, build, implement, and improve the work.
The same subscription carries the transformation into the business
Your AI leadership is backed by the team that implements the plan, spanning Salesforce, data, automation, integration, training, and agent governance.
The team turns operating context into a living knowledge base and carries multiple priorities in parallel, so leadership can focus on decisions and results instead of coordinating vendors.
AI Agents drive speed, Experts bring judgement, and one accountable team from the executive decision through the production workflow.
“Their professionalism, planning, and execution are all top-notch for the consulting industry.”
Questions people actually ask
What does a fractional Chief AI Officer actually own?
The role owns the AI-native vision, executive alignment, operating standards, opportunity portfolio, prioritization, and accountability for turning the roadmap into working systems. The exact mandate is set with your leadership team rather than copied from a generic job description.
How is this different from an AI strategy consultant?
The mandate continues into implementation. The same subscription includes an embedded delivery team that can prepare data, redesign workflows, build integrations and agents, train teams, establish governance, and improve what is running after launch.
See how the embedded team worksDo we need to run on Salesforce?
No. AI transformation can begin anywhere the business case is real. Salesforce is where we have the deepest implementation advantage, especially when customer data and customer operations sit at the center of the change.
Can this work with an internal AI or Salesforce leader?
Yes. Strong internal ownership makes the model better. We can advise and extend that leader with specialist depth, delivery capacity, and patterns for data readiness, agent governance, and organizational adoption.
Explore the embedded team modelWhere should we start?
Start with the business outcome leadership cares about and the constraint holding it back. A fit conversation can determine whether the right first move is the executive vision, a Headless 360 readiness assessment, or a specific workflow with clear value.
See what makes a strong fitDoes Claudeforce remove the need for an AI strategy?
Claudeforce gives Salesforce customers a strong new execution surface. Leadership still owns the AI-native vision, role and process redesign, model policy, human escalation, economics, and adoption. The product makes those choices more urgent because agents can act against live business systems.
Read the Claudeforce field noteThe next move