Service

AI agents & assistants

We build agents that plan, call your tools, and finish real tasks, plus copilots grounded in your own systems, with a person in the loop where the stakes are high.

Book a discovery call Grounded in your data · Human approval on risky steps · Every action logged

Who it's for

This is for small and mid-sized businesses that want more than a chatbot: software that does the work, not just talks about it. It suits teams ready to put AI on real tasks but who need scoped access, human approval on the risky steps, and answers they can trace back to a source.

How it works

How an agent gets built

We start narrow with one well-defined task, wire the agent to your systems, and put a human at the steps that carry risk before widening its reach.

Scope

Define the task

We pick a concrete multi-step job and map exactly what the agent must do, which tools it calls, and where a person has to sign off.

Build

Connect the tools

We give the agent the API and tool integrations it needs to act inside your systems, scoped to only what the task requires.

Guardrails

Add the checkpoints

We insert human review and approval before any risky or irreversible step, so the agent proposes and a person confirms.

Measure

Log and tune

We log every action and run evaluation so agent behaviour is measured, not assumed, and tighten it before widening what it handles.

For in-app assistants:we embed a copilot in the software your team already uses, grounded in live data with cited answers, respecting the same access controls as the rest of the system.

What you get

What you get

Each piece below is scoped, logged, and built to earn trust before it takes on more.

Task-completing agents

One or more agents that plan and carry defined multi-step work through to a result, rather than just answering a question.

Tool and API access

The integrations that let an agent act inside your systems, scoped so it can only touch what its task requires.

Approval checkpoints

Human review and sign-off at every step that carries risk, so nothing irreversible commits without a person confirming it.

Grounded in-app assistant

A copilot inside your existing software that answers and acts on live data, with citations back to the source.

Logging and evaluation

A record of every action and an evaluation setup, so agent behaviour can be measured and improved over time.

Outcomes

What changes after

Multi-step tasks that needed a person to shepherd them now run start to finish.

Staff get answers and actions from their own data without switching tools.

Every risky step is checked by a human before anything is committed.

Not sure an agent is the right fit?

A short call is enough to tell whether your task suits an agent, a grounded assistant, or plain automation instead.

Book a discovery call
6 mo
To CJIS compliance
100%
Data isolation

Case study

A compliant AI assistant for law enforcement agencies

Evertech built the AI assistant inside a public-safety platform, giving law enforcement grounded, compliant answers from their own data, exactly the kind of scoped, trustworthy assistant this service delivers.

Read the case study

FAQ

Questions buyers ask

How is an AI agent different from a chatbot?
A chatbot answers questions. An agent completes tasks: it plans steps, calls your tools and APIs, and carries work through to a result. Evertech builds agents that act inside your systems, with human approval at the points that matter, so they do the job rather than just describe how it would be done.
How do you stop an agent from doing something wrong?
Guardrails. Evertech scopes what each agent can access, inserts human approval before any risky or irreversible step, and logs every action for review. Agents propose; a person confirms where stakes are high. This keeps automation useful without handing over decisions that need judgment or accountability to a model.
What does "grounded in our systems" mean?
The assistant answers from your actual data, your records, documents, and systems of record, rather than the model's general training. Evertech connects it to those sources and returns citations, so users can check where an answer came from. That cuts confident-sounding mistakes and makes the assistant trustworthy for real work.
Can the assistant live inside our existing software?
Yes. Evertech embeds assistants directly in the tools your team already uses, so help and actions happen in context rather than in a separate window. The assistant reads and, where allowed, acts on live data, and it respects the same access controls as the rest of your system.

Related services

Pairs well with

Workflow automation

Evertech connects your systems and automates the manual steps between them so repetitive work runs without a person touching it

LLM integration & tuning

Evertech embeds language models into your stack and tunes them on your data for accuracy, tone, and safe, predictable behaviour

Let's find what's worth building

A short discovery call to understand your business and show you where software and AI would pay off first.

Book a discovery call