Private AI Launchpad
From AI readiness assessment to a live private AI pilot in weeks.
The Private AI Launchpad is how most organisations start with Seekers AI. It opens with a 2–3 week Readiness Sprint, an AI readiness assessment that ends with a scored use-case shortlist, a private AI architecture for your environment, a risk review, and a costed roadmap. If you go ahead, we build one production-grade pilot in 4–8 weeks, then run and scale it with you monthly.
Definition
What is an AI Readiness Sprint?
An AI Readiness Sprint is a fixed 2–3 week assessment of where private AI can do useful work in your organisation and what it would take to get there. We interview the teams involved, review the documents and systems they rely on, and check your infrastructure and data rules. You get a written plan you can act on with us, with another provider, or with your own team.
Who is the Private AI Launchpad for?
The Launchpad suits GCC organisations that want AI working on real documents and systems but cannot send sensitive data to public AI tools.
- You have a list of AI ideas and need evidence to pick the first one.
- Your data must stay on-premise or in an approved GCC cloud region.
- Your staff and customers work in Arabic and English, often in the same document.
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Most are in regulated sectors: banks and insurers, government and semi-government entities, healthcare providers, and large real estate developers.
It also fits teams that already ran a proof of concept and watched it stall. The Sprint looks at why it stalled and plans a pilot that connects to production systems from the first week.
What do we need from you during the Sprint?
The Sprint is light on your team's time, but it needs the right people and access.
- People: an executive sponsor, one business owner for each candidate use case, and named contacts in IT, security, and risk or compliance.
- Time: a kickoff session, interviews of about an hour with each team, and a final readout.
- Access: read-only access to the systems in scope, or a guided walkthrough, under your security rules.
- Documents: sample policies, contracts, forms, or correspondence for each use case, including Arabic and scanned files where they exist.
- Context: your data classification rules, infrastructure standards, and the regulatory limits we must design around.
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We agree the schedule with you in the first days.
We can work on your premises, inside your network, or with documents shared through your approved channels. We never need a copy of your data on our own systems.
What happens after the Sprint, whether or not you build with us?
You keep everything the Sprint produces.
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The shortlist, data map, architecture, risk review, and roadmap are written for your team and are yours to use as you choose.
Many organisations move straight into a pilot with us. Some hand the roadmap to an internal team or use it to run a tender. Some decide the timing is wrong and park it. The Sprint's job is to give you enough evidence to make the decision.
How do we measure whether a pilot worked?
We agree the success measures with you before we write any code.
- Real questionsWritten with your team
- Run the systemSame questions, every release
- Score each answerCorrect, cited, safe
- Go / no-goAgreed threshold
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The same measures decide the go/no-go review at the end.
For a knowledge assistant, the measures usually cover answer accuracy against an evaluation set built from your own documents, how often answers cite the right source, and how often the assistant says it does not know instead of guessing. For an agent that does work, they cover task completion, how often a person corrects or rejects its output, and how long the process takes before and after.
We also track adoption: how many of the intended users rely on the system each week. If a pilot misses its targets, the review says so, explains why, and recommends whether to adjust, narrow the scope, or stop.
Three steps from first conversation to production
2–3 weeksUse cases, architecture, costed roadmap
4–8 weeksOne use case live on your systems
MonthlyOperate, measure, add use cases
- Readiness Sprint · 2–3 weeksUse cases, architecture, costed roadmap
- Pilot · 4–8 weeksOne use case live on your systems
- Run & Scale · MonthlyOperate, measure, add use cases
- 01
Readiness Sprint
2–3 weeksWe work with your business, IT, and risk teams to find the use cases worth building first.
- Prioritised use-case shortlist, each scored for business value and feasibility
- Data and system map: where the relevant documents and records live, who owns them, and how they can be reached
- Private AI reference architecture for your environment: on-premise, private cloud, or sovereign GCC cloud
- Risk and governance review covering data residency, access control, and human approval points
- Costed roadmap for the pilot and the use cases after it
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We test each one against your real data and infrastructure, and agree how a private deployment would be governed.
- 02
Pilot
4–8 weeksWe take the top use case from the shortlist and build it on your infrastructure.
- One production-grade use case, deployed in your environment
- Integration with the real systems it depends on, such as your document store, ERP, or CRM
- Evaluation set built from your own Arabic and English documents, with an accuracy report
- Role-based access, audit logging, and human approval on sensitive steps
- Training for the first group of users
- Go/no-go review against the agreed success measures
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It connects to the systems it needs, real staff use it, and we measure it against targets agreed before the build starts.
- 03
Run & Scale
MonthlyOnce the pilot is approved, we operate it as a managed service.
- Hosting support and monitoring inside your environment
- Regular accuracy and drift reviews against the evaluation set
- Model, prompt, and retrieval updates when your documents or needs change
- New use cases built on the same stack
- Monthly report on usage, accuracy, issues, and next steps
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We watch quality, keep models and prompts current, and add the next use cases on the same foundation.
Questions about the Launchpad
How long does an AI readiness assessment take?
Our Readiness Sprint takes 2–3 weeks, depending on how many use cases and teams are in scope. Most of it goes on interviews and document and system review.
Do we have to commit to a pilot before the Sprint?
No. The Sprint is a standalone engagement. You decide on a pilot after you have seen the shortlist, the architecture, and the costed roadmap.
Does any of our data leave our environment?
No. We review documents and systems under your security rules, on your premises or through your approved channels. Pilots run on your infrastructure or in an approved GCC cloud region.
Can the pilot work with Arabic documents?
Yes. We build and test pilots on your real Arabic and mixed Arabic–English documents, including scanned files. The evaluation set and accuracy report cover both languages.
How is the Launchpad priced?
Each phase is scoped and quoted separately. The Sprint roadmap includes cost estimates for the pilot and later phases, so you can budget before committing further.
What if the pilot does not meet its targets?
The go/no-go review shows the results against the agreed measures and explains any gaps. We then recommend whether to adjust and re-test, narrow the scope, or stop. The decision is yours.
Start with a Readiness Sprint.
Tell us which processes you want AI to help with, and we will reply with a proposed Sprint scope, the people we would need to meet, and a possible start date.