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Business automation → Fractional AI Manager
Fractional AI Manager
Fractional AI Manager: AI strategy, use case prioritization, pilots and ROI assessment, tool selection and implementation oversight — no full-time hire. Kazakhstan.
Discuss your projectOverview
Fractional AI Manager: the service in brief
Gotomarket fills the Fractional AI Manager role for companies in Kazakhstan. We build an AI strategy around business goals, prioritize use cases by return, launch pilots and oversee implementation, tools and team training. The result: AI develops systematically, without a bloated headcount or chaotic experiments.
- Format
- from 4 hours a week
- Start
- 1–2 weeks
- Focus
- strategy and implementation
- KPI
- set in the contract
The role isn't about buying trendy tools — it's about choosing the processes where AI delivers a verifiable return without creating unnecessary risk.
In plain wordsWhat it is and why it matters
- What it is
- A part-time head of AI: decides where AI will pay off in your processes, runs trial projects, picks tools and contractors, and tracks the results.
- Who it is for
- Companies with several AI ideas and tools already being bought, where nobody measures the effect and hiring a full-time head of AI is still premature.
- What you get
- A process review, a list of AI use cases prioritized by return and risk, a pilot plan with success criteria, selected tools and contractors, security rules and a trained team.
- Where to start
- Tell us which AI ideas you already have and what you have tried. After an initial assessment we agree the format and the number of hours per week.
Solution architecture
How a Fractional AI Manager works with the 5D methodology
First we assess processes and economics, then run limited pilots and scale only proven use cases.
Design
Build the AI strategyWe create a use case map, priorities by return, and data and security requirements.
Deploy
Launch pilotsWe select tools and contractors, set KPIs and limit the pilot scope.
Drive
Measure resultsWe compare the pilot with the original process, keep what works and switch off the rest.
Dominate
Scale and hand overWe expand proven solutions, train the team and set up ongoing quality control.
Unit economics and ROI
How the role pays off
Without an owner, AI initiatives often break down into unrelated experiments: tools are bought, but metrics, data and accountability are never defined.
A Fractional AI Manager cuts spending on pilots that don't work and directs resources to use cases with a clear return. The economics depend on the number of initiatives, the cost of manual processes and the depth of involvement.
- Format
- part-time
- Priority
- by return and risk
- KPI
- in the contract
- Start
- 1–2 weeks
Result
What you get
The work ends not with a list of tools, but with a managed portfolio of use cases, owners and implementation rules.
- Audit of processes and AI opportunities
- Prioritized use case map
- Assessment of impact, data and risks
- Pilot plan and success criteria
- Choice of architecture, tools and contractors
- Launch management and results measurement
- Quality and security rules
- Team training and handover plan
Comparison of approaches
Fractional role vs. a one-off project
The format depends on the number of use cases and whether the AI function needs a permanent owner.
| Approach | Accountability | Limitation | Best for |
|---|---|---|---|
| Project contractor | One agreed use case | Does not manage the overall portfolio | You need a specific bot or integration |
| Fractional AI Manager | Strategy, pilots and results of the AI function | Needs authority and team resources | Several use cases and no owner |
| Full-time head of AI | Permanent AI function | Lengthy hiring and a full salary | A mature, steady workload |
Limitations and risks
When you don't need a Fractional AI Manager
The role makes sense when AI is a set of related initiatives, not a single one-off project.
You need one bot
For one clear use case, a project team is enough.
No resources for implementation
Without budget, data and people, even a good strategy will remain on paper.
You already have a strong AI function
If there is an experienced owner in-house, targeted expert input or an external audit is more useful.
A good fit
When this service is a good fit
- The company has several AI ideas with no shared priorities
- Tools are being bought, but nobody measures the effect
- You need an owner for pilots and contractors
- A full-time head of AI is still premature
Not a fit
When to choose another approach
- You need one specific bot or integration
- No budget or team to drive change
- You already have an experienced head of AI in-house
- AI use cases aren't yet tied to business goals
Terms in plain words
- Fractional AI Manager
- a head of AI who works part of the week
- AI strategy
- a list of priority use cases, data, risks and stages
- Pilot
- a limited launch to test the result
- Return
- measurable savings, growth or reduced risk
- Model independence
- the ability to switch AI providers without rebuilding the whole solution
- AI use case
- A specific task AI handles, such as sorting requests or drafting emails; the strategy is built from a set of these.
- KPI
- Measurable performance indicators set in the contract, such as process handling time or pilot launch dates.
- Use case portfolio
- All of the company's AI use cases in one list with priorities and owners, so AI develops systematically rather than through scattered experiments.
Frequently asked questions
Fractional AI Manager: FAQ
How is a Fractional AI Manager different from a contractor?
A contractor delivers one use case. A Fractional AI Manager is responsible for the strategy, priorities and results of the entire AI function.
How much time do you commit per week?
From 4 hours a week up to intensive involvement during implementation. The format and KPIs are set in the contract.
Do you lock the company into one vendor?
No. Tools are chosen for the task so that critical components can be replaced.
How quickly can we start?
Usually within 1–2 weeks: first an opportunity audit and use case map, then priority pilots.
How much does a Fractional AI Manager cost?
The cost depends on the number of hours per week and the depth of involvement: from 4 hours a week to intensive participation during implementation. The format, KPIs and terms are set in the contract after an initial assessment of the tasks. Unlike a full-time hire, the company doesn't pay a full salary or go through a lengthy recruitment process.
What does a Fractional AI Manager do in the first month?
They audit processes, interview managers, assess data and risks, and build a map of AI use cases prioritized by return. Then they pick the first pilots, set success criteria and choose tools or contractors. By the end of this stage, the company has a plan instead of a collection of scattered ideas.
How is an AI strategy connected to CRM and task trackers?
Most useful AI use cases rely on data from a CRM such as Twenty or amoCRM and task trackers such as Plane or Jira: deals, tickets, tasks and statuses. That's why the strategy includes assessing these systems — data quality, API availability and access rights. If CRM processes aren't in place yet, automation may need to come first, followed by AI.
Is a Fractional AI Manager a good fit for a SaaS company or IT studio?
Yes, especially when AI is needed both in the product and in internal processes such as support, sales and development. The role helps separate AI product features from internal automation, choose model providers and avoid duplicate experiments across teams.
How is the work of a Fractional AI Manager evaluated?
KPIs are agreed in the contract and tied to specific use cases, such as process handling time, the share of automated operations or pilot launch dates. Each pilot is compared with the original process, and then we decide whether to scale, change or stop it. Results are measured by impact, not by the number of tools purchased.
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