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Put AI to work. Keep control of the decisions and the spend.

AI can contribute to how your teams win, serve and grow customers. You still need to know what it is allowed to do, who is responsible and what it costs to run.

Kongo helps commercial teams make those decisions and translate them into practical governance, operating processes and technical controls.

Start with the job, not the promise.

Preparing a call summary is different from approving a discount. Suggesting a reply is different from sending one. Reading a customer record is different from changing it.

We help you assess proposed uses of AI against the task, the information involved and the consequences of getting it wrong.

That gives you a basis for deciding where AI is useful, how much autonomy is appropriate and where human judgement needs to remain part of the process.

Make the boundaries clear.

Define what each tool or agent can do.

Establish its purpose, permitted actions and access requirements. Distinguish between preparing information, making a recommendation and taking an action that affects a customer or business record.

Assign responsibility to people.

Identify who owns the use case, who approves changes and who responds when something goes wrong. Agree how changes to instructions, permissions or models will be assessed before wider use. An agent can perform a task; it does not remove the need for accountable ownership.

Understand the data and suppliers involved.

Review which information is used, where it is processed and which services receive it. We work alongside your security, privacy and procurement stakeholders to translate requirements into decisions about access and use.

Plan for review and intervention.

Decide where approval is required, what exceptions should be raised and how a person can review, pause or stop the process. The controls should fit the consequences of the task, rather than treating every use of AI as equally risky.

Make governance part of the implementation.

Written policy matters, but it needs to connect with what the systems actually permit.

We help translate requirements into permissions, approval steps, change controls and appropriate monitoring. We also identify the limits of what the selected platforms can enforce or record, so the operating model does not depend on visibility that is not available.

This work connects directly with orchestration: defining where an agent participates, what it receives and when the process must return control to a person.

Keep the commercial case in view.

Technology oversight includes more than AI risk. It also means understanding the licences, subscriptions and consumption charges behind the work.

We help you examine software overlap, unused licences and consumption from AI models, agents, APIs and workflows. Where the available data allows, we connect usage with the teams and processes generating it.

Together, we establish cost ownership, budgets and review points, including which limits or alerts the selected platforms can support. We also consider the human effort needed to review results and resolve exceptions.

The question is not simply whether a tool works. It is whether the value of the work justifies the cost of running, checking and supporting it.

Connect the controls with the commercial purpose.

GTM Advisory establishes what the proposed use is meant to achieve. Integration and orchestration translate the agreed boundaries into the relevant system connections, decision points and approval paths.

Change Management and Training and Adoption help people understand the new responsibilities and use the tools appropriately. Governance connects those responsibilities with the way the solution is operated and reviewed.

A policy cannot enforce a permission the platform does not support. Equally, a technical control is not enough when nobody knows who should respond. We help bring the design, the controls and the operating responsibilities together.

Common questions.

Is this mainly a compliance exercise?

No. It is about making AI and technology useful, manageable and commercially accountable. Governance can support compliance obligations, but this service is not a substitute for legal advice or an independent certification assessment.

Can you review tools and agents we already use?

Yes. We can assess the existing use cases, ownership, permissions, supplier arrangements and available usage information, then prioritise changes. The scope depends on the systems involved and the access available.

Do we need fully autonomous AI to get value?

No. Assistance, recommendations and drafts can be valuable without allowing AI to act independently. We help choose the level of autonomy appropriate to the task and its consequences.

Decide where AI belongs. And how you will run it.

Bring us the use case, the existing tools or the questions your team is trying to resolve. We will help you connect the opportunity with clear responsibilities, practical controls and a credible commercial case.