Put AI to work.
Across your business.

Your existing systems remain important. We identify which system owns each fact, where the process may read or write, and how changes are checked. The business context includes approved product knowledge, account terms, operating rules and relevant decision history.

Managed cloud, your private cloud and on-premises deployment are options to scope with your IT team. Model requirements, hardware, network boundaries, identity, retention, updates and support access need an explicit design.

On-premises does not automatically mean information never leaves the network. External model calls, connectors and support access must be considered. If you need fully local inference or a disconnected environment, we assess compatible models and operating arrangements before committing.

Model choice follows the job and your policies. A replacement model is tested against the process's acceptance cases before rollout. The useful business knowledge and operating procedure should not depend on one model's name.

Design options to scope with your IT team. This is not a diagram of an installed environment.

These are working documents, not a strategy presentation left for another team to implement. We use them to build, test and run the process. Your owners can inspect what was agreed and how a decision changed.

For the retailer example, acceptance includes competing orders, duplicate requests, missing stock, uncertain submissions and changed customer instructions. A successful draft does not pass a test that requires an accepted reservation. A specialist-assisted completion is recorded honestly rather than counted as unattended work.

Choose one category, location or recurring job with a clear decision owner. Connect the records it needs and test realistic cases before allowing customer or financial actions.

Then introduce live responsibility within agreed limits. Looqus monitors execution, resolves exceptions and checks that the records reflect the result. Your team retains the release, spending and commercial decisions specified in the engagement.

Expansion follows evidence. We review the completed work, its full delivery cost and the business effect before widening the scope. That can mean extending the process, repairing a weak point or deciding that another constraint deserves attention first.

A stock process cannot manufacture unavailable inventory. A reporting process cannot establish contribution while product costs are missing. Identifying and resolving those dependencies is part of taking responsibility for the outcome.

Support coverage and escalation routes are agreed before launch. We specify what happens when a dependency is unavailable, a decision owner cannot be reached or an exception exceeds the agreed scope. Work remains visible with a next action; silence is not a completion state.

If you already have an internal AI platform or engineering team, keep it. Looqus can take responsibility for one bounded business process with a clear interface to the team maintaining your wider systems.

The core offer is one deployment fee followed by an agreed share of the upside, with no monthly retainer. We agree the measurement boundary and exclusions before work begins. AI usage, hosting and ongoing work are included within the agreed scope; existing business subscriptions and operating costs remain yours.

Enterprise procurement, on-site hardware and environment-specific responsibilities are defined in the agreement. Additional work is prioritized within the agreed engagement rather than priced as a fixed agent count. Material changes to environment or support requirements are agreed before expansion.

We also agree the handover requirements: which business records, operating instructions, configurations and decision history must be available if ownership changes. Export formats, third-party dependencies, licensing, access removal and any restoration test belong in that discussion. Do not wait until an exit to discover what another operator needs.