Internal AI assistants
Assistants grounded in your own documents, policies and data, with permissions that respect who may see what.
We build AI into operational systems rather than alongside them. The measure is not how advanced the model is — it is whether a task that used to take forty minutes now takes four, and whether the answer someone needs is available when they need it.
The useful applications are unglamorous, specific, and measurable.
Assistants grounded in your own documents, policies and data, with permissions that respect who may see what.
Retrieval over your contracts, procedures and historical records, with citations back to the source document.
Extraction and classification for invoices, applications, statements, contracts and forms.
Rules and model-assisted routing that move work between systems and people without manual handling.
Deflection of routine enquiries with a clear, logged path to a human when it matters.
Anomaly and exception surfacing so problems reach someone before a customer reports them.
The unglamorous foundation — clean, current, well-modelled data, without which none of the above is reliable.
AI capability delivered inside the systems people already work in, not as another tab to remember.
We look for a specific, high-frequency task with a measurable time cost. Vague ambitions do not survive contact with production.
How long does it take now, how often does it happen, and what does an error currently cost? Without this there is no way to prove value.
A working prototype on your real data, measured against the baseline, with an honest read on accuracy and where it fails.
We decide what the system may do unattended and what a person must approve. This is a business decision, not a technical one.
Delivered into the existing workflow, with logging, cost controls and a manual fallback.
Model behaviour drifts and inputs change. We track accuracy and cost in production and adjust.
Not on the configurations we deploy. We use enterprise API tiers where inputs are not used for training, and we document exactly which provider processes what. Where data may not leave your environment at all, we say so before the project starts rather than after.
Business systems built around how your organisation actually works — replacing spreadsheets, email chains and disconnected tools with one connected platform.
Explore Software & Systems ExploreCloud environments, identity, email and business continuity — designed for the workload, documented, and operated rather than merely installed.
Explore Cloud & Infrastructure ExploreDigital experience engineering — websites and web platforms built as products, engineered for performance, accessibility and search, not assembled from a template.
Explore Web & Digital Experiences ExploreA short conversation is usually enough to tell whether this is the right capability for your situation — and we will say so if it is not.
Nothing matches that. Try “software”, “security” or “SpikeOS”.