Custom AI agent development for real business work
For owners and operations heads whose team spends hours moving information between systems and making the same small decisions all day. We build AI agents that do that work inside your existing tools and ask a person before anything risky goes out.
- Timeline
- 2 to 4 weeks to first version
- Best for
- Teams repeating the same research, triage or data entry daily
- Usually starts with
- One agent for a single process, such as inbox triage
Agent flow
What is AI agent development?
AI agent development is the work of building software that uses a language model to read inputs, decide the next step and take actions in your systems, such as updating a CRM or drafting a reply. Unlike a simple automation, an agent can handle messy inputs and choose between paths. A good build adds limits, logs and human approval for sensitive steps.
- Works inside tools you already use, like Gmail, HubSpot and Slack
- Handles unstructured inputs: emails, PDFs, chat messages and forms
- Every action is logged so you can see why it decided
- Sensitive steps wait for a person to approve them
Typical AI agents we ship
Each one scoped and quoted at a fixed price after a free review of your process.
Inbox triage and routing
When a message hits a shared inbox, the agent reads it, tags intent and urgency, pulls the matching customer record and routes it to the right person with a short summary attached.
Draft quotes from loose requests
A customer emails a rough request. The agent pulls prices from your sheet, checks stock, builds a draft quote in your template and sends it to sales for a final check.
Meeting notes to CRM updates
After each recorded call, the agent reads the transcript, updates deal stage and next steps in your CRM, creates follow-up tasks and drafts the recap email for the rep to send.
Supplier delivery follow-ups
When a purchase order passes its expected ship date, the agent emails the supplier, reads the reply, updates the delivery date in your sheet and flags real delays to the buyer.
Weekly market monitoring digest
Every Monday the agent checks competitor pricing pages, tender portals or listings you care about, compares them with last week and sends a short digest of what actually changed.
Account health and renewal checks
Each week the agent reviews usage data, open tickets and invoice status for every account, scores renewal risk and sends account managers a list of who needs a call.
A typical build, end to end
Reads the inbox, drafts replies from your templates and files everything in the CRM.
What changes for your team
Staff copy details from emails into three systems by hand, every single day.
The agent reads each email and updates every system, and staff review exceptions.
Urgent requests sit in a shared inbox until someone has time to sort them.
Requests are sorted, summarized and routed to the right owner within minutes.
Nobody can say why a task was handled a certain way last month.
Every agent step is logged with the inputs it used and the reason.
Four steps, one fixed price
- 01
Map one process
We sit with the people doing the work, list every step and decision, and agree which steps the agent does alone and which need approval.
- 02
Fixed-price build plan
You get a written scope and fixed price covering tools, data access, guardrails and what success looks like, before any work starts.
- 03
Build and shadow test
We build the agent in stages and run it in shadow mode on real cases, comparing its choices with your team's until accuracy holds.
- 04
Launch and hand over
The agent goes live with logs, alerts and an off switch. You get documentation, training and full ownership of every prompt and line of code.
What an AI agent can do for a small business
Most businesses have work that is too messy for a simple if-this-then-that automation but too repetitive for a skilled person. Emails that need reading before anyone knows what to do, requests that require checking two systems, follow-ups that depend on what the other side said. An AI agent handles that middle ground. It reads the input, looks up what it needs, picks the next step from a set you approve and records what it did. Your team stops doing the sorting and starts handling the cases that need judgment.
The best first agent is narrow. Pick one process with clear inputs, a known set of outcomes and a person who can check the results for the first few weeks. Inbox triage, quote drafting and CRM updates after calls are common starting points because the value is easy to see and mistakes are easy to catch. Once the first agent is trusted, it becomes much easier to add a second one, or to give the first one more responsibility.
How we keep custom AI agents safe and predictable
An agent that can take actions needs limits. We give each agent a short list of tools it is allowed to use, read-only access wherever writing is not needed, and spending or sending caps. Anything that touches money, customers or legal commitments goes to a person for approval first, usually with one click in Slack, Teams or email. If the model is unsure, it is built to stop and ask rather than guess.
Every run is logged: what came in, which records the agent read, what it decided and why. That log is how you audit it, and how we tune it. Before launch we test against a set of real past cases and compare the agent's choices with what your team actually did. We only switch on autonomy for a step once its accuracy is steady, and you can pause the agent at any time.
AI agent development cost and what you own
We quote every agent build as a fixed price in writing before work begins, based on the number of systems involved, how messy the inputs are and how much approval logic is needed. There is no hourly billing and no surprise invoice when testing takes longer than planned. Model and hosting costs are billed by the providers directly to your accounts, so you can see exactly what each run costs.
You own the result. The agent runs in accounts registered to your business, whether that is n8n, a Python service on your cloud or a LangGraph workflow, and the prompts, code and documentation are yours. We hand over with a walkthrough and training for the people who will supervise it. If you want us to keep improving it, monitoring and changes are available on an optional monthly plan, not a lock-in.
AI Agent Development questions
What is the difference between an AI agent and a regular automation?
A regular automation follows fixed rules: when X happens, do Y. An AI agent can read unstructured input, such as an email or a PDF, work out what it means and choose between several next steps. We often combine both, using plain automation for predictable steps and an agent only where judgment on messy input is actually needed.
How much does it cost to build a custom AI agent?
It depends on how many systems the agent touches, how varied the inputs are and how much approval logic it needs. After a free 30-minute audit of the process, we send a fixed-price quote in writing. You pay that amount, not hourly fees. Ongoing model usage is billed by the provider to your own account, usually a small cost per run.
Can an AI agent make mistakes?
Yes. Language models can misread input or make a wrong call, which is why we design for it. Agents get limited permissions, every action is logged, and anything involving money, customers or legal decisions waits for human approval. We test on real past cases before launch and only widen what the agent does alone once its results are consistently right.
Which AI model will my agent use?
We pick the model per task, not by brand loyalty. OpenAI, Anthropic Claude and Google Gemini models each have strengths in reasoning, speed, cost and document handling. Many agents use a fast, cheap model for sorting and a stronger one for harder decisions. The agent is built so the model can be swapped later without rebuilding the workflow.
Who owns the AI agent after it is built?
You do. The agent runs in accounts registered to your business, and you receive the prompts, code, workflow files and documentation at handover. We train the people who will supervise it. You can run it yourself, hand it to another developer or keep us on an optional monthly support plan. There is no license fee to keep using what we built.
Often built together
Workflow AutomationTurn repetitive handoffs between apps and people into workflows that run on their own.
AI ConsultingPractical AI consulting: we map your processes and rank automation ideas by real return.
Internal Tools and PortalsReplace fragile spreadsheets with simple apps and portals built around how your team works.
Get a fixed quote for your AI agents
Send two lines about the process you want to hand over. We reply within one business day with what we would build, the tools involved and what it would take.
- 30-minute call, no slides, no pressure
- One fixed price before any work starts
- You own every workflow, account and line of code