AI agents

AI agents that do the work, not just the talking

An AI agent reads a request, decides what to do, and acts on your real systems: booking the appointment, updating the CRM, reconciling the invoice. We design, build, and deploy agents that run inside your operations, with guardrails and a human in the loop where it matters.

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A chatbot answers. An agent acts.

Chatbot

Replies with words

Answers a question, then stops
You still do the task yourself
No access to your live systems

AI agent

Does the task

Plans steps and calls real tools (function calling)
Books the slot, updates the CRM, places the order
Grounded in your data, with guardrails and handoff

Agents we build.

A sample of what we ship, each scoped to your systems, your data, and your rules.

HIntelligence Hub

6 agents live

Active agents

Running across your stack

Runs this month

1,284

Tasks handled end to end

Workflows automated

Across departments

Integrations

100+

Tools, chat, docs and data

All agents

Customer Support / CX Agent

Live

Answers, resolves, and knows when to hand off

Handles the front line of customer conversations across web chat and WhatsApp, grounded in your own help docs, policies, and order data rather than guesswork. It resolves the routine requests end to end and escalates the rest to a person with the full context attached, so nobody repeats themselves.

Sales Agent

Live

Qualifies, books, and never lets a lead go cold

Engages inbound leads the moment they arrive, asks the qualifying questions you’d ask, books meetings against live calendar availability, and writes everything back to your CRM. It works the follow-up sequence so deals don’t die in someone’s inbox over a weekend.

Operations Agent

Live

Moves data between systems so people don’t

Watches for the events that trigger your manual back-office work, a new order, a status change, a form submission, and runs the steps a person would, across the systems that don’t talk to each other. It turns a recurring three-system copy-paste job into something that runs without anyone watching.

Finance & Admin Agent

Live

The paperwork, handled and checked

Reads incoming invoices, receipts, and statements, extracts the line items, matches them against purchase orders or expectations, and flags the exceptions for a person to approve. It clears the routine 80% so your finance people spend their time on the 20% that actually needs judgement.

Data & Reporting Agent

Live

Ask in plain language, get the answer with the numbers behind it

Connects to your databases and warehouses and answers business questions in plain language, translating them into queries it runs against governed, read-only data. It produces the recurring reports on schedule and lets non-technical people interrogate the numbers without waiting on the analytics queue.

Appointment & Booking Agent

Live

Books, confirms, and fills the cancellations

Runs the full booking conversation for businesses where the calendar is the business, clinics, opticians, salons, services. It checks live availability, books across web and WhatsApp, sends reminders to cut no-shows, and offers freed slots to the waitlist when someone cancels.

How our agents are built and coordinate

A coordinator on top, specialists underneath, sharing one set of tools, one knowledge layer, and one audit trail.

Orchestrator / router

Reads the request, works out intent, routes to the right agent or runs a multi-step plan.

Specialist agents

One agent per job: support, sales, reporting. Each gets focused tools and a narrow scope.

Tools & integrations layer

Every action (query a database, book a slot, send a message) is a permissioned tool.

Knowledge & retrieval (RAG)

Your documents and data, retrieved at answer time so replies are grounded, not guessed.

Memory & state

Holds task and conversation state, so an agent resumes instead of starting cold.

Guardrails, logging & human-in-the-loop

Validation, hard limits, full logging, and a clean handoff to a person at the edge.

How we work with you.

We build your agent end to end

Fixed-scope project: we map the workflow, build the agent against your real systems, test it on your data, and hand it over working with documentation. You own everything we build, including the code and the prompts.

Scope a build

Embedded AI engineers

Resident™, our engineers work inside your business on an ongoing basis, building and tuning agents as your operations change. An AI function without the full-time hire, sized to the scope you actually need.

Explore Resident™

We train your team to run agents

Through our training, we get your people comfortable building, monitoring, and improving agents themselves, from the orchestration patterns to the guardrails. You leave knowing what to ship Monday morning, not just what’s possible.

Book training

Custom-made agents on your stack

Agents that work safely inside your existing systems, data, permissions and security controls, built on the tools and models you already use.

WhatsApp
Slack
Gmail
Outlook
Sheets
Excel
Teams
Salesforce
HubSpot
Zendesk
Telegram
Claude
Gemini
LangChain
n8n
Zapier
Vercel
+ moreand your stack

Common questions.

Which models do you use?

Whatever fits the job and your constraints, usually Claude, GPT-class, or Gemini models, often a mix within one system (a strong model for reasoning, a cheaper, faster one for routing and classification). We’re not tied to one provider, and we’ll run on your keys (BYOK) so you control the relationship and the spend. Model choice is a parameter, not a religion.

Don’t these things hallucinate?

Left unbounded, models make things up. We design against it: agents answer from your retrieved documents with citations rather than from memory, every tool call is validated, and anything the agent can’t ground or isn’t confident about gets escalated to a person instead of guessed. The architecture is what controls hallucination, not hoping the model behaves.

Can an agent actually act on our systems, or just chat?

Act. That’s the whole point. Through the tools layer it can book appointments, update your CRM, query databases, draft invoices, and message customers. What it can and can’t do is defined explicitly per tool, with permissions and limits, high-stakes actions like moving money are drafted for human approval rather than executed automatically.

What about our data security?

Your data stays in systems you control. We work BYOK, scope database access to read-only replicas and permitted tables where we can, encrypt credentials and secrets, and don’t use your data to train anyone’s models. We address data handling and a DPA in the SOW before anyone signs, it’s part of the scope, not a separate conversation.

What does it cost to run?

Two parts: the build (a fixed project fee, scoped after we understand the workflow) and the running cost (model usage, which is usage-based and often small per task, we’ve run our own production AI features at fractions of a cent per operation). We design for cost from the start, routing cheap work to cheap models, and we’ll model the running cost with you before you commit.

Find out where AI would fit in your business.

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