SBG / serviceAvailable across the United States and beyond

Custom AI Agent Development

Give one repeatable business job to a governed AI system.

01 / Who this is for

When this
work helps.

For teams with a defined, repeated workflow and enough process knowledge to describe what a good result and a dangerous result look like.

What is going wrong

An open-ended prompt is not an operating system. Without bounded responsibilities, source rules, approval gates, and exception handling, an agent creates more review work than it removes.

How we would approach it

We map the job, select the model and tools, define source authority, add human approvals, create evaluation cases, and document the operator workflow before launch.

02 / What better looks like

The changes this work
should support.

01

Less repetitive operator work

We build toward this goal, but we do not pretend an agency can guarantee every business result.

02

Consistent task execution

We build toward this goal, but we do not pretend an agency can guarantee every business result.

03

Auditable human checkpoints

We build toward this goal, but we do not pretend an agency can guarantee every business result.

03 / What we may build

The useful parts,
priced before we start.

Your project may need fewer pieces or more. These are the deliverables most often involved.

  1. 01

    Agent job specification

  2. 02

    Tool and data integrations

  3. 03

    Prompt and policy layer

  4. 04

    Evaluation test set

  5. 05

    Operator documentation and handoff

04 / How we handle it

Plan it. Build it.
Make sure it works.

01

Agree on the job

We write down the goal, users, constraints, access, owner, and what a finished result must do.

02

Build a complete first version

The first release covers a real start-to-finish path, including errors, permissions, alerts, and the parts a person still owns.

03

Test and hand it over

We test what was agreed, document the important details, and make sure the right people have access.

05 / Real work only

No fictional
case studies.

We show real builds and label the relationship honestly. If a client has not approved private performance numbers, we show what shipped instead of inventing a result.

See the Nexara build ↗See the website + CRM build ↗

06 / Common questions

Before you
start.

What can Custom AI Agent Development include?+

A project may include Agent job specification, Tool and data integrations, Prompt and policy layer, Evaluation test set, Operator documentation and handoff. We confirm what is in, what is out, who owns each part, and the final price before work starts.

How long does Custom AI Agent Development usually take?+

The usual window is 6–12 weeks. Access, integrations, approvals, migration volume, and testing can change that timing.

What does Custom AI Agent Development cost?+

Custom work starts at $5,000. Software, ad spend, paid licenses, and other outside costs are listed separately.

Who is Custom AI Agent Development designed for?+

For teams with a defined, repeated workflow and enough process knowledge to describe what a good result and a dangerous result look like.

Need this exact service?

Tell us what is going on.
We will price the right next step.

An agent designed around a specific operating job, with tools, permissions, checkpoints, and evidence your team can inspect.