Managed AI support & optimisation
Maintain AI knowledge, evaluate model changes, monitor usage costs and improve workflows through a clearly scoped ongoing support engagement.
THE BUSINESS CONTEXT
AI applications need attention after launch. Source documents change, providers update services and users ask questions that were absent from the pilot. A named owner and a regular review process help the application stay aligned with the business.
Managed support begins with an assessment of the application and the responsibilities of each party. Coverage hours, response targets, maintenance tasks and improvement capacity are agreed explicitly, so the customer knows what the engagement includes.
YOUR FIRST ENGAGEMENT
Focused Pilot
Assess one live or launch-ready application and agree a maintenance baseline and initial improvement backlog.
Discuss This PilotApplication and provider access, operational records, source owners and agreed support priorities.
Measures are agreed for your project. Results depend on the data, workflow and evaluation; they are not guaranteed improvements.
WHAT WE DO
Run agreed update checks and re-index approved sources. Remove retired content and investigate conflicting versions. Source owners approve business meaning; the support process keeps the application connected to that approved material. Failed imports and stale records are surfaced for correction.
Review representative interactions, unanswered questions and cost per useful task. Check latency, provider errors and usage limits. Investigate changes against a known baseline rather than relying only on total message volume. Reports identify actionable improvements and who owns them.
Test model, prompt, dependency and integration changes before deployment. Maintain configuration history and rollback instructions. Define escalation for failed connections, incorrect answers and access issues. Support hours, incident ownership and third-party service dependencies are stated in the agreement.
Use user feedback and evaluation results to propose the next useful change. Separate maintenance from larger feature development. The business reviews scope, expected benefit and cost before new capabilities are enabled. Periodic handover updates preserve the customer’s understanding of the environment.
A DEFINED ENGAGEMENT
Your proposal defines the exact scope, responsibilities, milestones, and exclusions. Depending on the engagement, the work can include:
WHERE IT FITS
Keep knowledge and answers current.
Monitor the behaviour of AI product features.
Establish support ownership before wider use.
WHO THIS CAN HELP
Explore example workflows and the customer groups these services are designed to support.
A PRACTICAL FIRST STEP
Choose one useful task, agree how the result will be checked, and use the evidence to decide what should happen next.
QUESTIONS, ANSWERED
Coverage and response targets are agreed for each engagement. No 24/7 commitment is implied by this service page.
Provider and infrastructure charges are itemised separately unless a proposal explicitly includes them. Usage assumptions are reviewed during onboarding.
We first assess source access, licensing, deployment and provider dependencies. The takeover scope reflects what can actually be maintained.
CONNECTED CAPABILITIES
Evaluate AI answer quality, permissions, costs and failure cases, and define practical ownership, review and change-control processes..
Explore This Specialty
Bring a useful AI capability into an existing application or a new platform.
Explore This Specialty
Prepare documents and business data for AI with reliable ingestion, data-quality checks, access controls and repeatable update pipelines..
Explore This SpecialtyA CONVERSATION IS A GOOD PLACE TO START