Custom Enterprise Agents. Built for the way you work.
When your workflow doesn't fit a template, we build the agent that does — designed around your process, integrated with your systems, and governed by the escalation rules you set.
A custom AI agent is an AI agent designed around one organisation's own workflow rather than a template. It is connected to that company's systems — CRM, ERP, databases, telephony and internal tools — and governed by escalation rules the company sets. Tribe's CodingKey team builds custom agents in five stages — discover, design, build, deploy, operate — and runs them on TIOS with human oversight.
Updated
Custom Enterprise Agents at a glance
Custom Enterprise Agents at a glance
Status
Available — built and ready to deploy for you
Best for
Repeatable, rules-based workflows that are unique to your business
Channels
Any: voice, chat, email, APIs and internal tools
Hours
Whenever your workflow runs
Languages
As your workflow requires
A person takes over when
Exactly where you define it
Security
Role-based access, encryption and full audit trails
Platform
Runs on TIOS; built by CodingKey
What it can do
The work, done.
Anything repeatable and rules-based across your operation
Connected to your CRM, ERP, databases, telephony and internal tools
Governed by the exact escalation rules you define
Use cases
Real situations it handles.
Document-heavy back office
Forms, contracts and applications are read, validated against your rules and entered into the right systems — with exceptions routed to a person.
Internal help desks
IT and HR questions are answered from your policies, and routine requests such as access or leave are completed in the right system.
Compliance checks
Records are checked against your rules on every transaction, not a sample, and anything that fails is flagged with the reason.
Swivel-chair data entry
Work that means copying data between systems with no integration is done by an agent working through the same screens.
Custom voice workflows
Phone processes that don't fit a standard receptionist — verification calls, surveys, confirmations — are scripted and run to your rules.
Several agents working together
One agent takes intake, another processes, a third checks quality — orchestrated on TIOS, with people at the decision points.
How it works — an example
A supplier onboarding request, handled.
1
Request arrives
A new supplier emails their details and documents.
2
Checked
The agent extracts the data and validates it against your rules — tax form, bank details, insurance.
3
Systems updated
When everything checks out, it creates the supplier in your ERP and notifies procurement.
4
Exception
A required certificate is missing, so it asks the supplier for it and alerts your team.
5
Audited
Every step, document and decision is logged for your auditors.
Example for illustration — not a real customer conversation.
How we build it
From your workflow to a running agent.
1
Discover
2
Design
3
Build
4
Deploy
5
Operate & learn
We start with your business problem, map the workflow, build and integrate the agent, deploy it into real conditions, and keep improving it — because we operate what we build.
Fit & control
Plugs into your stack. Keeps humans in control.
What stays human
You define exactly where the agent acts and where it escalates.
Industry context
Why it matters now.
Gartner predicts over 40% of agentic AI projects will be cancelled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls.
Third-party figures, linked to their sources. They describe the industry, not Tribe's results.
Getting started
What it takes, and what you can measure.
What you get: Automation tailored to your exact operation, with enterprise compliance and human oversight built in.
What we need from you
A clearly defined workflow, with volumes and rules
System access: APIs, databases or the screens people use today
Real examples, including the hard cases
Escalation rules and named owners
Success measures agreed before the build starts
What you can measure
Volume handled end to end
Exceptions, by reason
Cycle time per transaction
Accuracy against human review
Handoffs and their outcomes
Cost per transaction
Reported through TIOS. Tribe measures results on your own data rather than promising numbers up front.
Responsible autonomy
The agent executes. Your people decide.
The agent handles the repeatable, high-volume work; your people own the decisions that matter. Human-in-the-loop escalation, full audit trails and security by default — built by CodingKey and proven in Tribe's own live operations before it reaches you. See our security & compliance.
Delivery choice
Human. AI. Or both — your call.
Run it as an AI agent, keep it fully human, or blend the two — you choose the mix, and change it as your confidence grows.
Available as
People and AI together — your call. Agents handle the volume, your specialists own the moments that matter. Start where you like, and shift the mix as your confidence grows.
Tribe builds custom agents in five stages: discover (map the workflow, volumes, rules and exceptions), design (decide what the agent does and where people take over), build (integrate with your systems and test on real cases), deploy (a controlled go-live) and operate (monitor, measure and improve) — because Tribe runs what it builds.
Who builds custom agents?
CodingKey, Tribe's AI engineering arm, builds them, and they run on TIOS — the operating model already proven in Tribe's own companies.
Is a custom GPT the same as an AI agent?
No. A custom GPT is a chat assistant configured with instructions and files — it answers questions. A custom AI agent takes actions: it reads and updates your systems, follows your business rules, handles exceptions and escalates to people. Custom Enterprise Agents are the second kind.
How do you evaluate an AI agent before it goes live?
Against your real cases. Tribe tests each custom agent on historical and edge-case examples, measures accuracy against human review, checks every escalation path, and agrees the success measures with you before go-live.
Why do so many agentic AI projects fail?
Gartner predicts over 40% of agentic AI projects will be cancelled by the end of 2027 because of escalating costs, unclear business value or weak risk controls. Tribe's process is built against those three: scoped to a measurable workflow, priced before the build, and governed by your escalation rules and full audit trails.
Can several AI agents work together?
Yes. On TIOS, several agents can share one workflow — one takes intake, another processes, another checks quality — with people at the decision points and every step logged.
Is a custom AI agent secure?
Yes. Every custom agent runs inside Tribe's security programme — PCI DSS compliant, ISO/IEC 27001 certified, SOC 2 Type II audited — with role-based access, least-privilege system connections and a full audit trail of every action. Documentation is available under NDA; see the Security & compliance page.
How much does a custom AI agent cost?
Tribe does not publish a price list for a custom AI agent. Each deployment is quoted after a short scoping call, based on your volume, the channels you want covered and the systems it has to connect to — and the quote is all-inclusive. The pricing models are explained on the How pricing works page.
Put this agent to work.
Tell us the workflow. We'll deploy an agent that runs it — with your people in control.