Service

Agents that act,
not agents that chat.

Custom AI agent development for agents that do real work, not only chat. Our agents answer calls, act on CRM data, send email, and plan whole projects. Every agent runs under a permission mode you select, from full autonomy to a plan you approve first.

See the proof
The agent acts, under a gate

A request arrives. A caller, an email, or a teammate asks for something.

82 actions
one assistant takes across deals, contacts, email, and calendar
90 configurations
of one shared agent core, across 10 industries and 9 languages
3 modes
full autonomy, a question before each change, or a plan you approve
Fixed
scope and price, agreed before the work starts

01 - The situation

A chatbot answers a question. Your business needs the work done.

You want an agent that finishes the task. Most teams that try this build a demo instead.

Where an agent project stalls

  • A chatbot answers a question, then a person still does the work by hand.
  • An agent that touches real data needs a permission model, and most teams skip it.
  • A team ships an agent, then one wrong answer breaks the customer's trust in it.
  • The agent works well in a demo, then fails on a real call or a real deal.

What we do instead

  • We build agents that finish the task: send the email, book the slot, update the deal.
  • You select the permission mode per agent, before it touches a single record.
  • Automated behavior tests check every agent conversation and action before a release.
  • We prove the agent on our own products first, not only on a slide.

02 - What you get

Three things leave the build with you

Not a chat window bolted onto your product. An agent that acts, a gate that controls it, and proof that it behaves.

01

An agent that takes real actions

An agent connected to your product and your tools, that finishes the task instead of only an answer to a question.

What it is

We wire the agent to the systems the work runs in: your CRM, your inbox, your calendar, a phone line, or a document store. Our own products show the range. Founders Kit's assistant takes 82 distinct actions across deals, contacts, email, and calendar. Ergofon's voice agents run in 90 industry and language configurations from one shared core.

Why it matters

Your team hands off the routine steps. It reviews the exceptions instead of doing every step by hand.

02

A permission gate you set

A control layer that decides what the agent does alone, and where it waits for you.

What it is

Every agent we build runs in one of three modes: full autonomy, a question before each change, or a step-by-step plan for your approval. Founders Kit's assistant, Kit, works this way today. Gremium.ai sets the same choice per project, with three levels of agent independence.

Why it matters

You extend trust to the agent at the pace you choose. Nothing changes in your systems until you say so.

03

Automated behavior tests before every release

Scripted conversations and actions run before an update ships, so a change never reaches a user untested.

What it is

For Ergofon, a second AI listens to scripted test conversations and confirms the agent stayed on script, across all ten industries. For Founders Kit, around 1,400 automated tests run before every release, next to a security audit across 113 requirements.

Why it matters

A new tool or a changed prompt ships with confidence. The agent's behavior is proven, not assumed.

03 - How it runs

Every action runs through the same loop

The agent does not act on its own judgment alone. Each request passes the same four steps, every time.

The agent acts, under a gate

A request arrives. A caller, an email, or a teammate asks for something.

Step 1

A request arrives

A caller, an email, or a teammate sends a request. The agent reads it with the context around it.

Step 2

The agent selects a tool

The agent picks one tool from its set: a phone line, an inbox, a calendar, or a document store.

Step 3

The gate checks the mode

The action meets a permission gate. It fires alone, waits for your answer, or waits inside your approved plan.

Step 4

The action completes

The tool runs the action and returns a result. The agent logs it and moves to the next request.

04 - Proof

Where we did this work

Four builds where the agent does the real work. Three run as our own products today. Each one shows the actions, the tests, and what shipped.

The demo is the product: Ergofon, our AI agents that answer the phone, from 90 demo configurations to a real customer pilot

Voice AI and customer communication for small and medium businesses

The demo is the product: Ergofon, our AI agents that answer the phone, from 90 demo configurations to a real customer pilot

Ergofon is our own product: AI voice agents that answer phone calls for small businesses in nine languages. One system powers ERGO, the sales agent that sells Ergofon in a conversation with visitors on ergofon.com. The same system powers ten industry demo agents that book appointments, and Eva, an agent in German for a real customer pilot.

Read the case study
A CRM you can talk to: Founders Kit, our own AI sales assistant with email and calendar built in

Sales software, AI-assisted CRM

A CRM you can talk to: Founders Kit, our own AI sales assistant with email and calendar built in

Our own product: a CRM where an AI assistant called Kit does the routine sales work. Kit takes 82 distinct actions across deals, contacts, email, and calendar. The product holds roughly 220,000 lines of code from about ten months of work, live at founders-kit.com.

Read the case study
Teams of AI agents that plan, execute, and review entire projects: Gremium.ai, our own product, built by a small team in under six months

AI agents for project management and knowledge work

Teams of AI agents that plan, execute, and review entire projects: Gremium.ai, our own product, built by a small team in under six months

Our own product: a workspace where teams of AI agents plan, execute, and review whole projects. They deliver finished documents and presentations. The product holds roughly 72,000 lines of code, from a small team in under six months.

Read the case study
From raw court decisions to an AI research workbench: a complete legal-tech product built by a small team

Legal technology, AI-assisted legal research

From raw court decisions to an AI research workbench: a complete legal-tech product built by a small team

A small team built a legal-tech product in roughly three months, in three phases. An ingestion pipeline processed tens of thousands of court decisions from a government database. A semantic search engine returns citations a lawyer can trust. A multi-tenant AI research workbench holds the daily work of a legal team.

Read the case study
All case studies

05 - Questions

Common questions

How much does custom AI agent development cost?
We quote one fixed price for the agreed scope, before the work starts. The price depends on the number of tools the agent uses, the systems it connects to, and the permission mode you choose. A scoping session is free, and it ends with a concrete number. You keep that number even if you build the agent somewhere else.
What makes an AI agent development company different from a chatbot vendor?
A chatbot answers a question, then stops. An agent we build takes the next step: it books a slot, updates a deal, or drafts a reply. Our own products prove the pattern. Founders Kit's assistant takes 82 distinct actions across deals, contacts, email, and calendar. Ergofon's voice agents run in 90 industry and language configurations, from one shared agent core.
How do you approach AI voice agent development?
Voice work differs from a text agent, because timing carries the trust. Our own product, Ergofon, taught us this directly. The agent must start its reply before the caller finishes the sentence, and it must not talk over them. A filter removes the agent's internal reasoning before the voice stage, so it is never spoken aloud. We test every industry script with scripted conversations before a release.
Can you build a multi-agent system that plans, executes, and reviews its own work?
Yes. Gremium.ai is our own multi-agent system, built by a small team in under six months. A plan agent breaks a project into tasks. Execution agents work each task with 20 specialized tools, and review agents check the result before it counts as done. You choose one of three levels of agent independence for every project, from full autonomy to a pause for your approval.
Can an AI assistant work inside my existing product?
Yes. We already shipped this pattern in our own product. Founders Kit's assistant, Kit, sits inside a live CRM and takes 82 distinct actions across deals, contacts, email, and calendar. Kit works in three modes: fully alone, with a question before each change, or with a plan you approve first. We bring the same pattern to your product, with real reach into your data under a permission mode you choose.
How do you test an AI agent before it goes live?
Every agent runs through automated behavior tests before a release. For Ergofon, a second AI listens to scripted test conversations and confirms the agent stayed on script, across all ten industries. For Founders Kit, around 1,400 automated tests run before every release, and the product passed a security audit across 113 requirements. We build this test layer into every agent we ship, not only into our own products.

06 - Related

Other services

Most engagements combine two of these. Start where the risk is highest.

MVP development sprintA fixed-scope sprint of 4 to 6 weeks. It ends with a deployed product, the codebase, and a roadmap.Custom software and modernizationOne system that replaces the spreadsheets, or a ground-up rebuild of a product you still run.Long-term product partnershipA senior team that builds, operates, and extends your product every month, at fractional cost.Proof of concept and pilotsA functional prototype in 3 to 6 weeks that answers one question: scale it, or stop it.AI opportunity workshop and roadmapA workshop with your process owners that shows where AI pays off, and in which order.Agentic development workshopsWe teach your developers to ship production software with AI agents, then guide the first build.Technical due diligenceA review of the code, the architecture, and the team before you invest, delivered as a written report.
This service, written for one audienceFor SMBsFor startups

Have work an agent could do?

Book a free scoping session. We map the actions the agent needs, the tools it must reach, and the permission mode that fits. You leave with a concrete plan and a concrete price.

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