The SageKeeper Office

AI leadership, working alongside your team.

A productized engagement that places a Fractional Chief AI Officer and a small implementation team alongside your team, runs a four-week stewardship cadence, and transfers ownership to your team so the work keeps running long after our engagement matures.

Engagement scopeBy context, not by package
Geographic reachNA · WE · SG · AU · NZ
RhythmFour-week stewardship cadence
01. What it is

Not consulting. Not staff augmentation. A working partnership with a defined rhythm.

Most AI consulting engagements end with a slide deck. The SageKeeper Office is built differently. It is a productized service that becomes part of how your business operates each month, with a Fractional Chief AI Officer leading the work, a small implementation team executing it, and a clear handover path that puts your internal team in control over time.

Think of it the way a Fractional CFO works for finance. You get senior leadership, a defined operating cadence, measurable outputs, and full accountability, without the cost or commitment of a full-time executive hire.

The difference is that AI moves faster than finance. So we run a tighter rhythm, ship working systems every month, and measure impact in productivity hours and dollars rather than slideware.

01

Senior leadership, fractional cost

A Fractional Chief AI Officer with experience across multiple SMB implementations, working inside your business 30 to 60 hours per month, depending on the engagement.

02

A team, not a single person

The FCAIO is supported by an implementation pod covering technical build, integration, training, and governance. You get the bench, not just the partner.

03

Independence by design

Every engagement is structured to make your internal team self-sufficient. We measure success partly by how confidently your team can run the AI work without us at full intensity by month 12.

02. What an FCAIO does

The role, demystified.

A Fractional Chief AI Officer is not a vendor manager, an IT consultant, or a trainer. The FCAIO holds executive accountability for AI in your business, with three areas of responsibility.

StrategyArea 01

The FCAIO works directly with your leadership team to set AI direction, sequence use cases by impact and feasibility, and align AI investment with business KPIs. This is the work that prevents you from chasing the latest tool every quarter.

ImplementationArea 02

The FCAIO runs the team that actually builds, integrates, and ships AI workflows. No handing off to a separate vendor. The same person who set the strategy is accountable for delivery.

EnablementArea 03

The FCAIO ensures your team builds the muscle to operate, extend, and eventually own the AI systems we install. This includes role-based training, internal champions, governance documentation, and a measured handover plan so you finish the engagement more independent than you started.

How an FCAIO compares to alternatives

Option Senior leadership Hands-on implementation Team enablement Independence path
Full-time Head of AIYesLimited (one person)SometimesVariable
Generic AI consultantSometimesYesRareRare
Big 4 transformationYesYesLightLow priority

The SageKeeper Office sits in a deliberate gap. Senior enough to lead, hands-on enough to deliver, structured enough to transfer.

03. The Stewardship Cadence

Predictable rhythm. Compounding output.

Every month inside The SageKeeper Office follows the same four-week shape. The cadence is deliberate. It creates predictable executive visibility, protects time for deep implementation work, and ensures team enablement and impact reporting never get squeezed out by build pressure.

Week 01
Leadership Pulse
A working session with your leadership team. We review the prior month's KPIs, calibrate the rolling 90-day roadmap, and lock the priorities for the four weeks ahead. Output: a written month plan with named owners and measurable targets.
Week 02
Field Discovery
The implementation team goes into the priority department. We map the workflow, sit with the people doing the work today, and shape the next AI use case from the inside out. Output: a use case specification ready to ship.
Week 03
Build Week
We build, integrate, and test. Workflows ship into the tools your team already uses, with human-in-the-loop review and audit logging configured before launch. Output: a working system in production.
Week 04
Handover & Impact
Your team is trained on what we built. You receive a written impact report covering KPIs, hours saved, quality metrics, and risks. The next month is pre-loaded. Output: a trained team and an executive-ready report.
Twelve months of this cadence delivers between three and twelve shipped use cases, depending on engagement scope, plus a documented governance posture, a trained internal team, and a measurement system that compounds.
04. The Five-Phase Method

The macro-arc inside which the Stewardship Cadence runs.

The Stewardship Cadence is the rhythm. The five-phase method is the arc. Every engagement progresses through these phases, with the pace varying by engagement scope and your business context.

Week 0

1Foundation

Discovery and fit. We meet with your leadership team to define goals, constraints, and use cases most likely to deliver early wins. Output: an engagement charter and a 90-day roadmap.

Days 0 to 30

2Safe Pilot

Prove value safely. We pilot embedded AI assistants in Microsoft 365, Google Workspace, your CRM, your helpdesk. Human review built in. Output: a working pilot with measurable early impact.

Days 30 to 90

3Harden & Integrate

Move from experiment to infrastructure. RAG over your documents, operational system connections, data quality checks, access policies, usage guidelines. Output: hardened, governed AI capability.

Quarter 2

4Dashboard & Scale

Expand and measure. Additional use cases come online. KPI dashboards make impact visible. EU AI Act readiness begins where applicable. Output: a scaled, measured AI capability.

Ongoing

5Continuous Optimization

Steady state. Strategy and governance, ongoing optimization, model monitoring, new use case pilots. Output: a self-sustaining AI operating model with measured year-over-year improvement.

05. How engagements scale

Every engagement starts narrow. The shape that follows depends on you.

Every SageKeeper engagement begins the same way. Foundation. Safe Pilot. One department, one or two carefully chosen use cases, measurable early impact. We do not start broad, regardless of how ambitious the eventual program is. Starting narrow is how we earn the right to scale.

What varies between engagements is what happens after the narrow start has proven itself. Some companies stay deliberately focused. Others expand into adjacent departments once the first is stable. A few commit to company-wide programs over multiple years. The shape your engagement takes depends on five variables, agreed with you at the start of every quarter.

Variables we agree with you

  • Departmental breadth. Which functions come online, and in what order. Most engagements stay in one department for the first six months, then expand by mutual agreement.
  • Pace of new use cases. Some quarters ship one carefully chosen workflow. Others ship three. We pace to your organization's capacity to absorb change, not to a target.
  • Implementation depth. Some engagements involve light-touch pilots inside existing tools. Others build retrieval systems, dashboards, and full integration layers. The depth is decided by the use case, not by a package.
  • Governance scope. EU AI Act readiness, GDPR documentation, custom risk classification work, and audit-ready evidence packages. Included by default. Expanded where regulation requires it.
  • Geographic and compliance complexity. Multi-region engagements, regulated industries, and cross-border data residency requirements add scope and rigor.

What stays constant

  • The Stewardship Cadence. Four-week rhythm, regardless of engagement size or ambition.
  • The five-phase progression. Foundation, Safe Pilot, Harden and Integrate, Dashboard and Scale, Continuous Optimization. Every engagement, in sequence.
  • Human review, audit logging, fact-checking. On every workflow, on day one, regardless of pace.
  • Monthly written impact reports. Conservative projections, honest reporting, KPIs measured against baseline.
  • A clear independence path. Your team progressively owns more of the operating model. By month twelve, you can run independently if you choose.
  • No long lock-ins. Engagements can be paused, scaled, or ended at the end of any quarter after the agreed minimum.
We do not publish public pricing because every engagement is scoped from your context, not from a tier sheet. Every proposal is built from your context. We share scope, timeline, and pricing in writing within 48 hours of the strategy call.
06. Across every engagement

Included across every engagement.

The non-negotiables of every SageKeeper engagement.

Some things are part of every engagement, regardless of scope or pace. These are the elements we believe define a responsible AI implementation, and we do not unbundle them.

Trust & Safety

  • Human-in-the-loop review on every workflow
  • Fact-checking and source attribution
  • Content filtering at the AI gateway
  • Full audit trails and logging
  • Explainability documentation for every model

Governance & Compliance

  • GDPR-ready data processing agreements
  • Risk classification worksheets
  • Data residency options on request
  • Vendor-agnostic architecture, no lock-in
  • Documented capability handover plan
07. Honest fit criteria

Who The SageKeeper Office is for.

The SageKeeper Office is not the right answer for every company. Knowing where it fits, and where it does not, saves both sides time.

This is for you if

  • You run a company of 20 to 200 employees
  • Your leadership team is ready to commit to a structured monthly engagement
  • You want measurable AI impact, not generic transformation theater
  • You value governance and human review as part of the build, not after it
  • You want your internal team to eventually own and operate the AI capability
  • You operate in or sell into geographies where compliance matters

This is not for you if

  • You are looking for a one-off AI workshop or a slide deck
  • You want a vendor to install AI and walk away
  • You want to skip governance and human review to move faster
  • You expect AI to replace your team rather than amplify them
  • You are not ready to dedicate executive time to monthly alignment
If the second column describes you better than the first, we will tell you on the strategy call. We would rather not engage than engage badly.
08. How an engagement begins

From first call to first month, in four steps.

01

Strategy Call (30 minutes, no cost)

We meet with you and any other decision-makers you want present. We discuss your current state, your priorities, and your constraints. You leave with a directional view on what AI can deliver for your business in the next 90 days, whether or not you choose to engage further.

02

Tailored Proposal (within 48 hours)

If The SageKeeper Office is a fit, we share a written proposal covering recommended engagement scope, timeline, pricing, and a draft 90-day roadmap. You have it in writing before any commitment.

03

Engagement Charter (Week 0)

Once you decide to proceed, we run a half-day Foundation session with your leadership team to lock in goals, success criteria, and the first month's priorities. Output: a signed engagement charter and a calibrated 90-day roadmap.

04

Month 1 Begins

The Stewardship Cadence starts. Week 1 Leadership Pulse. Week 2 Field Discovery. Week 3 Build Week. Week 4 Handover and Impact. By end of month one you have a working AI workflow in production with measured baseline KPIs.

09. Frequently Asked Questions

What buyers actually ask.

How is this different from hiring an AI consultant?
Most AI consultants deliver advice and walk away. The SageKeeper Office is structured around a four-week stewardship cadence with a Fractional Chief AI Officer accountable for outcomes and a team that ships working systems every month. An explicit independence path for your internal team is built into the engagement, not an afterthought.
How is this different from hiring a full-time Head of AI?
A full-time Head of AI takes three to six months to hire and brings the experience of one person. The SageKeeper Office starts in weeks and brings a team with experience across multiple SMB implementations. For most companies under 200 employees, fractional makes more sense than full-time until you have proven AI is core to the business.
How is pricing determined?
Pricing is built from your context, not a tier sheet. The variables are scope (departmental breadth, pace of new use cases), depth (light pilots versus full integration work), governance complexity (regulated industries, multi-region engagements, EU AI Act work), and engagement length. Every proposal is delivered in writing within 48 hours of the strategy call, with full transparency on what's included.
What if we already have someone leading AI internally?
Many of our engagements work alongside an internal AI lead rather than replacing them. The FCAIO provides senior leverage, the implementation team adds capacity, and your internal lead becomes the operational owner. We design the engagement around that relationship from the start.
What if we are not sure where to start?
That is what the Foundation engagement is for. The first 90 days are explicitly structured to identify, sequence, and scope the right starting use cases. You do not need to know what to build before you engage. You need to know that you want to build well.
What technologies do you build on?
We are vendor-agnostic by design. We build on whatever combination of platforms fits your business, with a strong preference for low-code and no-code tools that your internal team can operate after handover. Common stacks include Microsoft 365 with Copilot, Google Workspace with Gemini, OpenAI and Anthropic APIs for custom workflows, and standard integration platforms for connecting systems.
How do you handle data security and compliance?
Compliance is built into every engagement. We provide GDPR-ready data processing agreements, EU AI Act risk classification, data residency options for regulated workloads, audit logging, and human-in-the-loop review on every workflow. We are SOC 2 Type II aligned in our internal controls.
Can we pause or stop an engagement?
Yes. After the minimum engagement length, you can pause, scale down, or end the engagement at the end of any quarter. We do not use long lock-ins or punitive exit clauses.
What happens after the engagement ends?
By design, your internal team should be substantially self-sufficient by the end of a 12-month engagement. Many clients move to a lighter retainer for ongoing strategy support, model monitoring, and new use case development. Others end the engagement and continue independently. Both are valid outcomes.
10. Two ways to take the next step

Whether you are ready to engage or still evaluating.

Ready to engage

Schedule a 30-minute strategy call. We will discuss your current state, your priorities, and whether The SageKeeper Office is the right fit. You will leave with a clearer view either way.

Schedule a Strategy Call

Still evaluating

Read the SageKeeper Philosophy. Understanding how we think about AI implementation is often the best way to know whether we are the right partner for you.

Read the SageKeeper Philosophy