GBCORP BLOG · AI
Enterprise AI Solutions: Governance First, Then the Clever Part
In a large organisation the hard part of AI is not the model. It is where the data goes, who can prove what the system did, what it costs at scale and who is accountable when it is wrong. Enterprise AI solutions start there, and GBCORP builds them in that order.
Enterprise AI solutions fail in procurement more often than in engineering. A pilot works, then the security team asks where the prompts went, the finance team asks what a thousand users will cost, and the legal team asks who approved the output. GBCORP answers those questions before the pilot, because an enterprise AI feature that cannot pass governance never leaves the pilot.
The governance questions, answered first
| Question | GBCORP’s answer | Evidence |
|---|---|---|
| Data location | Which models see which data; private deployment where data must not leave | A written data flow per use |
| Privacy | Minimisation before any model call; no training on your data | Documented and testable |
| Audit | Every prompt, output, reviewer and decision logged under your account | Answers any later question |
| Evaluation | Real cases with known answers, run on every change | Quality as a number |
| Cost | Model per task, caching, per-department limits, usage analytics | A predictable bill |
| Accountability | What stays with a person, and who owns each use | Named, not implied |
Private, hosted or both
Some uses can call a hosted large model with minimised data. Some must run on a private model inside the organisation’s own cloud or on its own hardware. Most enterprises need both, chosen per use, with the choice recorded. GBCORP is not tied to any model vendor and treats the model as a component behind an interface the organisation controls.
Integration with enterprise systems
The value of AI in an enterprise comes from where its output goes: the CRM, the ticketing system, the document store, the ERP. GBCORP builds the AI layer with the same discipline as any enterprise integration: documented APIs, roles, audit and rollback. Single sign-on and directory groups decide who may use which feature, and usage rolls up by department.
One governed use at a time
The first use is chosen for volume and safety: summarising, drafting, classifying, extracting. It runs with a review step, its evaluation set and cost are reported weekly, and the governance file is written. The second use reuses the file. By the fifth, the organisation has an AI programme with a paper trail rather than a scattering of pilots.
Checklist before an enterprise AI programme
- The first use, its queue and its owner.
- Data classification for the inputs that use would touch.
- The policy on which models may see which classes of data.
- Existing evaluation examples, or the plan to collect them.
- Directory groups that will map to feature access.
- The monthly cost ceiling per department.
The numbers to expect
A first governed use in production within a quarter, priced as a fixed release; a programme of uses under a support plan that keeps evaluation, audit and cost reporting running. AI development and automation on the GBCORP e-shop is the priced starting point; enterprise programmes are scoped in a few weeks and quoted per release.
A worked example
A group with several operating companies receives thousands of supplier and customer documents a month across shared service centres. Legal requires that contract text never leaves the group’s cloud; finance wants a cost ceiling per company; internal audit wants to know who approved what. The first use: contract clause extraction and summary on a private model inside the group’s cloud, with a review step for every output and a log of reviewer decisions. The governance file records data flow, model version, evaluation results and access groups. After a quarter the second use, supplier e-mail classification, reuses the file with a hosted model because the data class allows it. By the fourth use the group has a programme, a paper trail and a cost report per company.
Change management inside a large organisation
AI features succeed in enterprises when the people whose queue they touch help build the evaluation set, because they then trust the number. GBCORP runs the first month of each use with the team that owns the process reviewing outputs, and reports accuracy back to them weekly. Training is a session on what the feature does and what it never does. Access is by directory group, so roll-out to a new department is an entry in the directory rather than a project. The programme office sees one dashboard: uses live, accuracy per use, cost per department, exceptions per week.
Pricing an enterprise programme
Each governed use is a fixed release with its governance file, evaluation set and integration included, so a department can approve it as a bounded project. The support plan is a known monthly figure covering evaluation runs, model updates, audit retention and cost reporting across every use. Model usage is passed through at cost and reported per department against the ceiling each set. There is no seat licence and no percentage of anything; the organisation pays for uses in production and the plan that keeps them honest.
Budget owners see the running total against their ceiling in the same dashboard as accuracy, so a use that grows expensive is a conversation in the month it happens rather than a surprise at year end.
Questions we hear first
Can it run entirely inside our infrastructure?
Yes. Private models on your cloud or hardware, with no external calls, where policy requires.
How do we prove what the AI did?
Every prompt, output and human decision is logged under your account with the model version used.
What about regulated markets?
The governance file per use is written to the regulator’s questions; retention, location and consent are configured per market.
Multilingual?
Yes, with evaluation per language, including right-to-left languages.
Where to start
The GBCORP AI development and machine learning hub sets out every service; the GBCORP AI Development and Automation product is the priced first release. For the application side, read building the app around the model.
GBCORP operates across 17 countries on 4 continents through six pillars: AI & IT, Innovation, Sustainability, Infrastructure, Business Lounge, and EV's & Solutions.
