Software Services · Technology, AI & Digital Transformation

Enterprise Generative AI

Put your manuals, standards, and project records to work with generative AI that stays grounded in your own documents

What it is

Enterprise Generative AI

We help engineering and operations firms design and deploy generative AI assistants that answer questions from their own documents: manuals, specifications, inspection reports, codes, and project files. Our approach uses retrieval-augmented generation so answers cite their sources, and we put review steps and access controls in place before anything reaches users.

Typical duration: 4 to 10 weeks for a prototype and pilot
Industry: Software Services

The business problem

Why clients need this

Critical knowledge sits in PDFs, email threads, and the heads of senior staff. General-purpose chatbots do not know your documents, can state wrong answers with confidence, and raise questions about data privacy.

01
Engineers spend time searching for the right clause, drawing, or past report.
02
Staff are already using public AI tools with company data, without clear guidance or controls.
03
Teams are unsure which use cases are worth building and which carry too much risk.

Our approach

How we deliver it

1
Use Case Selection
Working with your team to list candidate uses and rank them by value, data readiness, and risk.
2
Document Preparation
Cleaning, structuring, and indexing source documents, with access rules that mirror existing permissions.
3
Prototype & Evaluation
Building a working assistant and testing it against real questions with expert review, so quality is measured before launch.
4
Deployment & Guardrails
Releasing to a pilot group with logging, citation of sources, human review where needed, and a plan for ongoing monitoring.

Data & AI

How technology strengthens this service

Every answer is tied to the source passages it came from, and a test set of real questions is kept so quality can be re-measured whenever models or documents change.

How we use AI across our work

Typical deliverables

What you receive

Prioritised list of generative AI use cases with feasibility and risk notes
Working prototype assistant on your documents
Evaluation results against an expert-reviewed question set
Usage guidelines and a deployment and monitoring plan

Outcomes

What changes for you

Faster access to the right information for engineers and project teams
Clear, documented rules for how generative AI is used with company data
A tested starting point that can be extended to further use cases

Who it is for

Engineering and consulting firms
Manufacturers and utilities with large document libraries
Asset owners and project teams
Technology and operations leaders

FAQs

Common questions

Will our documents be used to train public models?+

We design solutions so that your documents are not used to train public models. The specific arrangement depends on the model provider and hosting option, and we set it out in writing before any work starts.

How do you stop the system from giving wrong answers?+

We ground answers in your documents, show the sources, test against real questions, and recommend human review for high-stakes uses. No system can promise zero errors.

Do we need a lot of data to start?+

No. Many useful assistants start with a few hundred well-organised documents. The quality and structure of the documents matter more than the volume.