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Whitesoft

Delivery · AI Development & Integration

AI that runs inside your business, not beside it.

Value is realised when AI is embedded in the systems and workflows people already use: the CRM, the case management tool, the finance platform, the intranet. We build production systems with evaluation, observability, security and cost controls designed in, using whichever model or technique the problem calls for.

Talk about your buildSee where this fits in our method

What you get

  • 01

    A production system integrated with your data and applications

  • 02

    Evaluation and monitoring that tell you when quality or cost drifts

  • 03

    Documentation and handover so your team can own it

How we do it

The same discipline every time: understand the business, quantify, test, then commit.

Deliverables

  • Production application or service
  • Evaluation suite and quality dashboards
  • Integration with source systems and identity
  • Runbooks, documentation and handover

  1. Retrieval-augmented generation

    Grounded assistants and search over your documents, policies and knowledge, with access controls that respect who is allowed to see what.

  2. Agents and intelligent workflows

    Multi-step automation that reads, decides, calls systems and escalates to people when confidence is low. Deterministic where it can be, probabilistic only where it must be.

  3. Document intelligence and extraction

    Classification, extraction and validation from forms, contracts, invoices and correspondence, with human review loops sized to the risk.

  4. Copilots and embedded assistance

    AI assistance inside the tools your teams use, whether that is Microsoft 365, Salesforce, a line-of-business application or your own product.

  5. Traditional machine learning

    Forecasting, classification, anomaly detection and optimisation where a well-tuned conventional model outperforms a language model on cost and accuracy.

Questions we are often asked

Which models do you use?

Whichever fits. That may be a frontier model from OpenAI, Anthropic or Google, a smaller hosted or open-weight model, a fine-tuned classifier, or no language model at all. Selection is driven by accuracy, cost, latency, data residency and risk for the specific task.

Related

Use cases this service supports

Talk about your build.

A short conversation is enough to tell whether this is the right starting point for you.

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