AI governance and integration that sets policies, approvals and monitoring so AI is safe to run alongside your existing systems.
About AI Governance & Integration
AI governance is the set of policies, roles and checks that keep AI use safe, lawful and accountable. It covers what data may be used, who approves new uses, how outputs are reviewed and how incidents are handled.
Governance and integration go together. Controls that live only in a document are ignored, so the work includes building them into the systems: access rules, logs, approvals and monitoring that run every day.
What is included in AI Governance & Integration
The typical building blocks. Scope is agreed with you in writing and tailored to your situation.
Policy outline
Plain-language rules for data use, review and acceptable use.
Risk assessment
Identifying where AI use could cause harm and how to reduce it.
Access and approvals
Role-based access and human approval for sensitive actions.
Logging and audit
Records of prompts, actions and decisions for later review.
Integration design
Connecting AI tools to your systems without opening unnecessary access.
Monitoring and review
Regular checks for quality, drift and misuse.
Why teams choose AI Governance & Integration
Confidence to adopt
Teams know what is allowed and leadership can see what is happening.
Reduced risk
Sensitive data and actions are protected by design.
Audit readiness
Records exist to answer questions from customers or regulators.
This is a good fit if
- Staff already use public AI tools without guidance.
- Customers or partners ask how you control AI.
- You are connecting AI to systems that hold sensitive data.
Does this sound familiar?
Pilots that never reach production
Answers that are not grounded in company knowledge
No clear policy for data, risk and human approval
Works well with
Other AI & Intelligence services that often come with AI Governance & Integration.
How it fits together
A typical reference architecture, from your data to the people who use it.
- Layer 1Your data and documents
- Layer 2Retrieval and guardrails
- Layer 3Model and approved tools
- Layer 4Apps, CRM and channels
Technology we typically work with
Six stages, the same every time
You always know which stage you are in and what comes next.
- Stage 1
Discover
Workshops and stakeholder interviews to define goals and constraints.
- Stage 2
Assess
Current-state review of systems, data, security and spend.
- Stage 3
Architect
Target design, integration map and phased plan with owners.
- Stage 4
Implement
Build in short releases with demos, tests and staging sign-off.
- Stage 5
Optimize
Measure against agreed KPIs and tune performance and cost.
- Stage 6
Manage
Monitoring, support and a monthly review with an account manager.
Security and governance
How the work is kept safe and accountable.
- Per-tenant retrieval and tool allowlists
- Prompt-injection defences and rate limits
- Human approval for commercial or operational actions
Industries we have worked in
Ways to work together
Scope and price are confirmed in writing by a consultant after discovery.
Assessment
A fixed-scope review that ends in a written roadmap you can keep, with or without us.
- Current-state review
- Ranked priorities
- Written roadmap
Project
Defined scope, milestones and acceptance criteria for building or migrating something specific.
- Phased plan with owners
- Short releases and demos
- Handover and training
Managed
A monthly retainer once it is live: monitoring, support and a regular review.
- Monitoring and backups
- Named account manager
- Monthly review
What clients say about working with us
The first call about AI Governance & Integration set the tone. The work was split into small steps we could review. We always knew where things stood.
Our AI Governance & Integration project had stalled before we called Bedre. They explained the options in plain words and let us decide. It felt like working with our own team.
Choosing a partner for AI Governance & Integration was a big decision for us. Communication was steady and honest throughout. The result was simple to explain to everyone.
We asked for help with AI Governance & Integration and expected a sales pitch. They explained the options in plain words and let us decide. Handover was thorough and our people could run it afterwards.
We were comparing options for AI Governance & Integration. The work was split into small steps we could review. The documents they left behind are still useful.
We came in unsure where to start with AI Governance & Integration. They told us when something was not a good fit for us. We would happily work with them again.
No. We help design technical and process controls. Legal obligations should be confirmed with your legal adviser.
Light, clear rules usually speed things up because teams know what is approved.
That is a business decision. We help define roles, such as an owner for each use case and a reviewer for sensitive ones.
It depends on scope. The Assess stage produces a timeline you can review before committing.
You do. Domains, cloud accounts and data stay in your name wherever possible.
Usually yes. The Architect stage lists connectors and any limits.
Ready to scope AI Governance & Integration?
Tell us the outcome you want. We will bring the plan.