Services · Fractional AI Office
An AI Office Without the Full-Time Hire
AI strategy, governance and adoption led by people who have run it, on a schedule and budget that fits a growing business.
Book a Strategy CallThe problem
Where leaders get stuck.
Your people are already using AI. Some of it is approved. Most of it is not written down anywhere.
Leadership is being asked for an AI plan, a policy and a return, and nobody owns all three. Hiring a full-time AI leader is hard to justify before you know what the work is.
What BIZPLAYS provides
BIZPLAYS gives you a working AI office: a named lead, a governance model, a use-case pipeline and the hands to build what gets approved.
Capabilities
What we do.
AI strategy and roadmap
Where AI earns its place in your business, in what order, and what it replaces.
Governance and policy
Access, data exposure, ownership of output and approved use cases, written so people can follow them.
Workflow automation
Agents and automations built into the tools your team already uses.
Adoption and training
Role-based training and a way to measure who is using what.
Vendor and model selection
Independent advice on platforms, models and licensing.
Private and local AI
Options for running models where sensitive data stays under your control.
Deliverables
What you receive.
- AI readiness review
- Acceptable use policy and governance model
- Prioritized use-case backlog
- Working automations and agents
- Adoption scorecard
- Quarterly executive review
Who it is for
A good fit if you are:
- Owner-led and mid-market companies without an AI lead
- Leadership teams under pressure to show an AI plan
- Regulated businesses that need AI use governed
- IT leaders who need a partner for the AI workload
Engagement models
Ways to work with us.
Scope and pricing are set with you after a first conversation.
AI Office Retainer
Ongoing fractional leadership with a monthly operating rhythm.
AI Readiness Sprint
A fixed-scope review that ends in a roadmap and a policy.
Build Project
One automation or agent, scoped, built and handed over.
Method
How the work runs.
- 01
Assess
How AI is used today, where the risk is and where the value is.
- 02
Govern
Rules, roles and approved tools before anything scales.
- 03
Build
The first use cases, delivered into real workflows.
- 04
Adopt
Training, measurement and a cadence that keeps it moving.
Outcomes
What we measure.
We agree targets with you at the start. These are the measures we track, not promised results.
Adoption
Share of staff using approved AI tools each week.
Coverage
Use cases live against the approved backlog.
Time returned
Hours removed from the workflows we automate.
Risk
Unapproved tools and policy exceptions, trending down.
FAQ
Common questions.
Do we need to pick an AI platform first?
No. Platform choice comes out of the assessment. We work with what you have and recommend changes only when they pay for themselves.
Will you build things, or only advise?
Both. The same team that writes the roadmap builds the automations on it.
How much time does this take from our team?
We need one executive sponsor and a named contact in each area we work in. We set the meeting rhythm with you at kickoff.
What happens to our data?
We agree data handling rules before any work starts, and we can design around private or local models when the data calls for it.
Talk Through Your Situation
A first conversation costs nothing and ends with a clear view of whether this service fits.