Services you can engage us for
Engage us for an assessment, a pilot or production readiness work on an existing prototype.
AI scoping & feasibility
We select a process to test and compare AI, conventional rules and the current workflow using your examples.
Deliverables : Pilot scope, evaluation dataset and decision criteria.
Assistant & agent development
We build document search, extraction or request-handling tools with the required permissions and approval steps.
Deliverables : Working pilot and evaluation results by case type.
Integration & production readiness
We connect the pilot to your applications, add checks, logs and human recovery, then prepare operations.
Deliverables : Integrated solution, regression tests and operating procedures.
An approach tailored to your engagement
We agree the steps needed for your scope. An audit or assessment can be commissioned separately, without committing to implementation.
01. Establish a baseline
Document the current process and unacceptable errors. Deliverable: scope, evaluation set and decision criteria.
02. Build a limited pilot
Test the journey with bounded access and human recovery. Deliverable: an instrumented prototype and results by case type.
03. Decide and integrate
Review failures and full cost, then organise oversight and support. Deliverable: deployment decision, usage limits and stop or recovery procedure.
Illustrative example, not a client engagement
Preparing a supplier request
Illustrative example: the system extracts information from a message and suggests a category. A missing or contradictory reference routes the request to a person. If a business-system update is proposed, authorisation and verification are handled separately from extraction. Evaluation also counts human rework and undetected mistakes.
Before you start
Do we need an AI agent?
An agent may fit a journey involving intermediate decisions and multiple actions. Stable processes may only require rules or occasional assistance.
What data do we need?
Authorised, representative examples, including difficult cases. Access, retention and service usage conditions are reviewed with your team.
What reliability can you guarantee?
An overall accuracy rate is insufficient. Criteria depend on error types and consequences and must be measured on the agreed scope before making outcome commitments.
What happens after delivery?
Changes to models, documents or business rules can change results. Operations include error monitoring, costs, regression checks and a route back to a controlled process. A person responsible for taking over cases must be identified before launch.
What determines the budget?
Source quality, integrations, autonomy and validation effort determine budget. Model usage is only part of total cost: monitoring, human review and maintenance also need estimating.
Discuss your project
Let's examine a specific process.
Describe the task, how often it happens and what takes time today. A few fictional examples are enough to explain the need in an initial conversation.