Enterprise AI adoption, legacy modernisation and system integration

Use Copilot where the work happens inside Microsoft 365, and consider a custom assistant where it has to reach beyond it. Copilot is built for drafting, summarising and searching the Microsoft 365 content each user can already open. It can be extended with connectors, but a custom build gives more control when answers depend on an ERP or service desk, when the assistant must act in those systems, or when your security team needs to choose the model, hosting region and logging. Many organisations run both, and we can test each against the same set of real staff questions before you commit.

Give departments an approved route that is quicker than buying their own. That means a central gateway to approved models with single sign-on, logging and personal-data masking already in place, a short register where each new use case records its owner, data and risk, and a procurement checklist covering data processing terms, training on your data and hosting region. Departments then build on shared components instead of signing separate contracts, and IT can see which models receive which data and what each team spends.

We use each platform's supported interfaces rather than writing to its database. Depending on the product and version, that means OData services or IDocs for SAP, the Dataverse Web API or OData endpoints for Dynamics 365, REST APIs for Oracle cloud applications, and the REST, Bulk and Platform Events APIs for Salesforce. Flows run through a central layer with shared data mappings, retries, error queues and monitoring, so a change in one system does not silently break another. Where your team already runs an integration platform, we build on it instead of adding a parallel one.

We treat those reviews as part of the plan rather than obstacles to it. Procurement receives a written proposal with scope, phases and a named lead, which gives contracts a clear basis. Security questionnaires are answered accurately, including where a control does not exist yet. Architecture boards see design options with their trade-offs before build starts, while changing direction is still cheap. Where your standards differ from our defaults, for example on logging, hosting regions or approved tools, we follow yours and record the decision.

Yes, as an aid to engineers rather than a replacement for them. Language models can draft summaries of modules, trace where a database field is read and written, and list candidate business rules from code and stored procedures much faster than reading line by line. An engineer then checks each draft against the running system, its logs and the people who operate it, and confirmed rules become tests the replacement must pass. Source code is sent only to models your security team has approved.

Yes, provided the differences between entities are mapped before the design is fixed. Subsidiaries often run separate ERP instances or charts of accounts, follow different data residency and employment rules, keep different working weeks and need interfaces in English, Arabic or Urdu, including right-to-left layouts. We record those differences per entity, keep shared components such as identity, integration and model access common, and hold local rules in configuration rather than separate code. Our UK office and Lahore engineering team share working hours with clients in the UK, Pakistan and Saudi Arabia.

It takes the controls any production system needs, plus a way to measure output quality. In practice that means single sign-on and role-based access, logs sent to your security monitoring, evidence for the data protection impact assessment, an evaluation set of real cases with an agreed pass mark, a named business owner, a support route for wrong answers and a way to charge model costs to the right cost centre. We build those around the first use case so the second one reuses them instead of starting again.

We price it in phases, each with its own written scope and fixed quote, after a discovery call and a written proposal. We recommend a first phase covering one department and a small number of systems, which keeps the commitment small while shared foundations such as identity integration and model access are built. Later phases are estimated in the roadmap and quoted once their scope is known. Costs rise with the number of systems and departments involved, data quality, security requirements and how much of the work your own team takes on.