Skip to content
AgentSpring

Build and connect

AI agents & assistants

Give your team an assistant that knows your business and acts only within the limits you set.

An assistant answers questions and drafts work. An agent goes further: it can use tools — look something up, update a record, send a draft — to complete a task. Both are useful. Both need clear limits. We build them with scoped permissions, approval steps, and testing so you know what they will and won't do.

Get a free workflow review

Free · 30 minutes · Reply within 1 business day

Send us a message

When this helps

  • Staff spend time hunting for answers across policies, manuals, and shared drives.
  • A multi-step task follows a predictable pattern but still takes someone's afternoon.
  • You've tried a general chatbot and it doesn't know your business.
  • You want to pilot an agent safely before rolling it out widely.

What AgentSpring does

  1. 1

    Define the job

    We write down exactly what the assistant or agent is for, who uses it, what it can access, and what it must never do.

  2. 2

    Connect knowledge and tools

    We connect the relevant documents and systems, with access limited to what the job requires.

  3. 3

    Add approval steps

    Actions with consequences — sending, updating, deleting — can require a person to confirm first.

  4. 4

    Evaluate before rollout

    We build a set of test questions and tasks and measure how the assistant performs, so changes can be checked over time.

What you receive

These are potential deliverables. Your proposal defines the exact deliverables and responsibilities; not every item applies to every engagement.

  • A written scope: purpose, users, permissions, and limits
  • A working assistant or agent in an agreed environment
  • Connections to the agreed knowledge sources and tools
  • An evaluation set and results report
  • Usage guidance for staff
  • Pilot plan and feedback process

What we need from your team

Good results depend on your team's involvement.

  • A clear owner for the assistant's content and behavior
  • The source documents and system access it needs
  • Pilot users willing to give honest feedback
  • Decisions on approval rules and acceptable risk

How success is assessed

  • It answers agreed test questions accurately and cites its sources
  • It refuses or escalates requests outside its scope
  • Pilot users find it useful enough to keep using
  • Approval steps work as designed

What affects scope, timing, and cost

  • How many sources and tools it connects to
  • Sensitivity of the information involved
  • Complexity of the tasks an agent performs
  • Number of users and the platform it runs on
  • Model usage costs over time

Projects are scoped around your goals, existing systems, and the work required. Before work begins, we agree on deliverables, responsibilities, fees, and any ongoing software or support costs.

Where relevant, third-party licenses, hosting, model usage, and ongoing support are separate costs identified before work begins. Your proposal also defines integration access, ownership arrangements, handover, and support scope.

How pricing works

Illustrative example

Example: an operations knowledge assistant

A manufacturer's shift leads could ask an assistant how to handle a specific equipment changeover, and get an answer drawn from current procedures with a link to the source document. If the procedure is missing or outdated, the assistant says so rather than guessing.

See work & examples

Questions about this service

What's the difference between an assistant and an agent?

An assistant mainly answers and drafts. An agent can take actions using tools. We'll recommend the simplest one that does the job.

Will our data be used to train AI models?

We choose platforms and settings that match your data requirements and explain the provider terms in plain language before anything is connected.

Can it run inside Microsoft 365 or Google Workspace?

Often, yes. Where it runs depends on your tools, licensing, and security needs. We'll lay out options.

Related services

Talk through ai agents for your business.

The free workflow review is your starting point. Bring a project, a process, or a question about where to start.

What happens on the first call?

We’ll discuss what you want to improve, the tools you use, and the constraints you’re working within. You’ll leave with 2 to 3 automation ideas, whether or not we work together.

Start with a defined project or an uncertain problem. You’ll leave with 2 to 3 automation ideas, whether or not we work together.

Get a free workflow review

30 minutes. You'll leave with 2 to 3 automation ideas, whether or not we work together.

Send us a message