Tangensys • Plan, deliver, measure
Custom AI agent development
Give an agent a small, clearly defined task and explicit authority. Separate suggestions from actions that change records, spend money or contact customers.
The work to plan together
A scope shaped around this requirement.
- Task designScope
- Agent buildReview
- Guardrails and approvalsCheck
- Approved informationWhat the tool is allowed to use
- Routine stepHandled automatically
- Human hand-overYour team takes over when needed
- Regular reviewOutputs checked and corrected
In short
What does Custom AI agent development involve?
Custom AI agent development builds agents that carry out multi-step tasks across your tools, with limits and human approval where needed.
When Custom AI agent development is a useful fit
Operations teams
Limit tool access and test what happens when inputs or external systems fail.
Agencies
Agree client-data boundaries and approval for actions taken on an account.
Product teams
Define the task and sign-off cases before choosing an agent framework.
Problems worth addressing first
Use these situations to identify the work that deserves attention before expanding the scope.
- Multi-step tasks consume staff time
A practical example
An agent can prepare a supplier comparison and request approval before creating an order. A failed tool call should stop or retry safely rather than assume success.
This is an illustrative scenario to explain the approach, not a claimed client project.
The work we can include
The final quote identifies the deliverables, quantities, approvals and exclusions. Select the work that serves your goal rather than assuming every item is required.
- Task design
- Agent build
- Guardrails and approvals
- Monitoring
Where we usually begin
Tool access, approval points, audit logs and spending limits are agreed. A small deterministic workflow may be a better fit than an autonomous agent.
Practical detail
Give the agent a clear authority boundary
An illustrative agent can read available appointment slots and draft a booking suggestion. Creating or cancelling an appointment is a separate action with its own authorisation rule.
| Part of the work | Example output | How to review it |
|---|---|---|
| Allowed read | Retrieve available slots for the requested service | The tool returns only information the user is permitted to see. |
| Approval boundary | Ask for confirmation before the agreed booking action | The draft is not mistaken for a completed booking. |
| Failed tool | Booking service unavailable or slot no longer valid | The agent explains the failure and offers the approved fallback. |
| Evaluation record | Task, tool call, approval, result and failure reason | Completion and unauthorised-action checks are assessed separately. |
A successful demo does not establish reliability across all requests. Evaluate repeated, ambiguous and adversarial inputs, then monitor the approved pilot.
Give each tool action an approval rule
An agent combines model output with tools or system actions. The important design question is what it may do, not how many tools it has. Reading a record, drafting a change and applying that change should be treated as different permissions.
Begin with one clearly defined task and representative exceptions. Some steps can use fixed rules while a model interprets language. Name the source of truth and identify actions that require a human decision or a preview before execution.
Test tool failure, wrong context and repeated execution. Keep action records and a way to stop the process. Technical delivery and operating support are agreed after the required capability is confirmed; an agent demo is not a production reliability guarantee.
Free AI project review
Start with a clear scope and a practical next step.
Tell us what you want to improve and share the relevant website or project details. We will review the starting point, recommend a suitable scope and provide a custom quote.
The initial review is free. Delivery, third-party charges and ongoing support are quoted separately.
Process
How the work is delivered
Review the starting point
Review the current setup, examples of the problem and the information needed to agree the work.
Agree scope and sign-off
We start with real examples of the task and approved information. A small, clearly defined pilot tests usefulness, failure cases and the level of human oversight before wider rollout.
Deliver and review
Evaluation includes inaccurate answers, unavailable tools and uncertain requests. Provider charges, monitoring and updates are defined separately; the business keeps an accountable human owner.
Hand over the next steps
Review the agreed outputs together. Confirm what your team maintains and what needs a separate ongoing arrangement.
What progress should mean
Measures that match the work
Measure task completion, incorrect actions, approval handling and recovery from failures. Include challenging test cases before allowing production actions.
A record of delivery
See what was completed, reviewed and still dependent on access or approvals. Project delivery and business results are reported separately.
Clear limits in the data
We explain what can be verified and where a result is only an estimate. Contact clicks, conversations and sales are different actions.
Scope and responsibilities
You keep ownership of your business accounts and approved deliverables under the agreed contract. Any third-party licences, subscriptions or usage fees are identified before you commit.
Why does an agent need a human approval step?
For actions with important consequences, review can catch incorrect interpretation before it changes a system or sends a commitment. The appropriate boundary depends on the task. Define it in the scope rather than relying on the model to infer when approval matters.
Can an agent make business decisions without asking?
Only within explicitly agreed authority. Financial, irreversible or sensitive actions often require a person’s approval.
What if a tool result contradicts the conversation?
Treat the current tool result and approved business rules as the action boundary. Unresolved contradictions should go to a review route.
Can agents act without approval?
Only for tasks you agree are safe; others need approval.
How is Custom AI agent development priced?
We quote against your goals, current setup and agreed scope. The quote separates delivery from third-party costs and ongoing support. You receive a custom quote within 2 working days.
How long does the work take?
The timeline follows the size of the agreed scope, access, content and approvals. We confirm milestones in the quote; a simple change and a full implementation need different schedules.
How will we communicate?
Your point of contact agrees a review rhythm with you. We use email, WhatsApp and scheduled calls, with decisions and scope changes recorded clearly.
What do you need to get started?
Share your current website or system, your main goal and examples of what is not working. We then agree the access and information needed for discovery.
Is everything included in the free review?
No. The free initial review helps define the next step. Detailed research, design, implementation and ongoing support are included only when stated in your quote.
Explore the related services
Let’s agree the right next step.
Tell us your goals and current setup. We’ll recommend a practical starting point and provide a custom quote.
Custom quote within 2 working days