Custom AI agents that carry out multi-step work with approved tools, clear limits and a person approving anything important.
About Custom AI Agents
An AI agent is a system that can plan a task, use tools such as your CRM, calendar or knowledge base, and carry it out step by step. Unlike a simple chatbot, it can take action, which is why design and limits matter.
Good agents are narrow and accountable. They have a defined job, a short list of tools they may use, logs of what they did, and a rule for when a human must approve. That keeps them useful and safe.
What is included in Custom AI Agents
The typical building blocks. Scope is agreed with you in writing and tailored to your situation.
Task definition
A written description of the job, the inputs, the outputs and what counts as done.
Tool allowlist
Only the systems and actions the agent needs, with permissions kept to a minimum.
Approval rules
Steps that always need a person, such as sending, paying or deleting.
Logging and review
A record of what the agent did and why, so it can be checked and improved.
Testing on real cases
Evaluation against past examples before it touches live work.
Handover and training
Documentation and a walkthrough for the team that will supervise it.
Why teams choose Custom AI Agents
Fewer manual hand-offs
Work that moves between systems can move without copy and paste.
Predictable behaviour
Limits and approvals keep the agent inside the job you gave it.
Traceable actions
Every step is logged, which supports review and accountability.
This is a good fit if
- You have repeatable multi-step tasks across several tools.
- You want automation but need human sign-off on key steps.
- You have outgrown simple chatbots.
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 Custom AI Agents.
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
Choosing a partner for Custom AI Agents was a big decision for us. The work was split into small steps we could review. The result was simple to explain to everyone.
Our Custom AI Agents project had stalled before we called Bedre. They told us when something was not a good fit for us. The documents they left behind are still useful.
We asked for help with Custom AI Agents and expected a sales pitch. The plan was clear enough to share with our board. The result was simple to explain to everyone.
We asked for help with Custom AI Agents and expected a sales pitch. Questions were answered directly, including the ones about trade-offs. It felt like working with our own team.
We asked for help with Custom AI Agents and expected a sales pitch. The plan was clear enough to share with our board. The result was simple to explain to everyone.
We asked for help with Custom AI Agents and expected a sales pitch. Communication was steady and honest throughout. The result was simple to explain to everyone.
A chatbot answers questions. An agent can also take actions through tools, such as updating a record, so it needs stricter limits and logging.
Only for low-risk steps you agree to. Commercial or operational actions are set to require human approval.
By narrowing its job, restricting its tools, testing on real examples and monitoring its logs after launch.
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 Custom AI Agents?
Tell us the outcome you want. We will bring the plan.