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AI Ops, Governance & Gateway

Put every AI call through one front door

We set up an AI gateway and governance layer that routes model traffic, enforces data policies, logs usage and keeps spend in check across every team and tool.

Duration
4–8 weeks
Format
Platform setup + policy
Pricing
Fixed scope
Best for
Companies with AI in several teams

A fixed-scope package

This solution has a defined scope, delivery format and timeline. Review what is included and what your team needs to provide before booking a scope call. If the work needs a different boundary or deeper customization, use the related service to plan a custom engagement.

Duration: 4–8 weeks. Format: Platform setup + policy. Pricing: Fixed scope.

01Fit

Is it right for you?

One controlled gateway for every model call, with policies, logging and cost limits.

  • Teams use different AI tools under different rules
  • Security can't see which data goes to which model
  • AI spend is spread across a dozen invoices
  • Regulators or customers ask how you govern AI

02Deliverables

What's included

  • 01

    AI usage inventory

    Which tools, models and data flows are in use today.

  • 02

    Gateway deployment

    A single endpoint that routes requests to approved models.

  • 03

    Policy enforcement

    Personal-data masking, content filters and per-team access rules.

  • 04

    Logging and audit

    Every request and response recorded for review.

  • 05

    Cost controls

    Budgets, quotas and caching by team and application.

  • 06

    Governance framework

    Policies, an approval process and a model register your teams can follow.

03Timeline

How the weeks break down

  1. 01Weeks 1–2

    Inventory

    Map AI usage, data sensitivity and current spend.

  2. 02Weeks 3–5

    Deploy

    Stand up the gateway, connect models and move the first applications across.

  3. 03Weeks 6–8

    Govern

    Roll out policies, dashboards and the approval process for new use cases.

04Outcomes

What you walk away with

  • One view of AI usage and cost across the company
  • Sensitive data stopped before it leaves
  • Faster approval for new AI use cases
  • Evidence ready for audits and customer questionnaires

06FAQ

Frequently asked questions

View pricing guide
Does a gateway add latency?

A few milliseconds in most setups, often offset by caching repeated requests.

Can we keep using several model providers?

Yes. That's one of the main reasons to have a gateway: you can switch or mix providers without changing every application.

Which frameworks does the governance cover?

We align policies with the EU AI Act, ISO/IEC 42001 and the NIST AI RMF, as relevant to your business.

How is the engagement priced?

We agree a fixed scope and price after reviewing the work, system dependencies and acceptance criteria. The pricing guide explains approved ranges for the engagement types it covers. A written proposal confirms what is included before a build starts.

AI Ops, Governance & Gateway

AI Ops, Governance & Gateway

One scope call, then a written proposal with deliverables, timeline, price and the team who'll deliver it.