A Chatbot Answers. An Agent Acts.
We design and build AI agents and workflow automation that do the work, not just talk about it. An agent receives a task, decides what to do with it, acts inside the tools you already run, and escalates to a person when it should.
- No obligation, no sales script
- You own the code
- Fixed scope after discovery
100+
Projects delivered
98%
Client satisfaction
30+
AI and automation experts
24/7
Support and maintenance
Trusted by forward thinking brands worldwide. Every build ships with documentation, training and full source code ownership.
What the status quo is costing you
Same data, five times
The same record gets keyed into several tools
Nobody planned it that way. A lead arrives on WhatsApp, gets written into a notebook, typed into the CRM, copied into a sheet and mentioned again in the Monday report. That is a few hours a week from several people at once.
Errors compound
Manual steps fail quietly
A wrong figure copied once becomes a wrong invoice, a wrong report and an awkward call three weeks later.
It does not scale
The process breaks as volume grows
What runs fine at ten orders a day starts cracking at fifty. The usual answer is hiring, and it is the expensive one.
The same work, two ways
Manual today
With an agent
Someone watches an inbox and forwards each message to the right person
Every message is read, classified and routed the moment it arrives
Invoice details are typed from a PDF into the accounting system
Fields are extracted, validated against the purchase order and posted
A person checks two systems and fixes whatever disagrees
Records are reconciled continuously, and only real conflicts surface
Reports are assembled by hand every Monday morning
The report is built, checked and delivered before anyone logs in
A WhatsApp enquiry sits unanswered until someone is free
The enquiry is logged, qualified against your rules and routed to the right person
Follow ups happen when somebody remembers
Every thread is tracked, and nothing is dropped because a person was busy
AI agents and workflow automation for businesses
A chatbot answers. An agent acts. It receives work, decides what to do with it, uses your actual tools to do it, and comes back with the job finished or a clear question for a person.
We build the second kind, because answering a question about an invoice is worth far less than processing it. If what you need is a customer facing assistant that replies to questions, that is a different service: AI chatbots and support automation.
Agents sit on top of what you already run. They read from and write to your CRM and ERP systems through APIs, so leads, customers, invoices and stock stay current in the system your team already opens every morning, without a migration and without a second place to check.
This matters more than it sounds. Most automation projects fail not because the model is weak, but because the automation lives in its own tool and nobody trusts the numbers in it.
1 to 3 months
Typical payback on one workflow
60%
Manual work removed, on average
100%
Actions logged and auditable
AI agent architecture
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Trigger
What starts the run. A new email, a form, a webhook, a row in a database or a schedule.
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Reasoning
The model reads the context and decides what needs to happen, within limits you set.
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Tools
The functions it may call. Your CRM, your database, an API, a document parser, a calendar.
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Actions
The work itself. Records written, messages sent, files produced, tickets closed.
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Memory
What it learned this run, stored so the next one starts better informed.
What the agent learns feeds back into the next decision.
What AI agents can automate
Read and classify
Take unstructured input such as email, PDFs, WhatsApp messages and forms, and turn it into structured records.
Decide and route
Apply your rules to work out who or what should handle something, and send it there with context attached.
Act across systems
Create, update and reconcile records in the tools you already run, not in a separate silo.
Draft for approval
Produce replies, quotes and reports that a person signs off in seconds instead of writing from scratch.
Watch and alert
Monitor for conditions that matter and raise the right alert to the right person, once.
Escalate to a human
Recognise its own limits and hand over with the full history attached.
Business process automation services
Invoice and document processing
Extract, validate and post data from PDFs and scans into your finance system.
Inbox triage and routing
Classify inbound mail, attach context and route it without a person reading first.
CRM automation and data enrichment
Deduplicate, enrich and keep records current across every tool that holds them.
Order and ticket automation
Move work through its stages, chase what is stuck and close what is finished.
Automated reporting
Build recurring reports from live data and deliver them on a schedule.
Employee onboarding and offboarding
Run the checklist end to end, from account creation to access removal.
AI workflow automation integrations
Model choice follows the task, not a vendor relationship. Where data cannot leave your network, we self host.
- Models
- Claude GPT open models self hosted
- Orchestration and APIs
- n8n LangGraph custom Python services webhooks
- CRM and ERP
- HubSpot Salesforce Pipedrive Zoho Odoo
- Finance and accounting
- QuickBooks Xero Sage Stripe
- Email, messaging and storage
- Gmail Outlook Slack WhatsApp S3 Google Drive
The agent never gets the last word on anything that matters
Approval gates
Anything financial, contractual or irreversible waits for a person. You choose where the line sits.
Confidence thresholds
Below a set confidence the agent stops and asks rather than guessing.
Full audit trail
Every decision and action is logged with its inputs, so any outcome can be traced back.
One click override
A person can reverse or redo any step, and the agent learns from the correction.
Exception handling
Retries, error branches and alerting are built into every workflow, so a failure surfaces immediately instead of being found weeks later.
One workflow, start to finish
The same shape fits most back office work: something arrives, it gets read, it gets checked against a system of record, something is written, and a person signs off only where the money or the risk sits.
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1
A supplier invoice arrives by email
The trigger fires the moment the message lands, no polling and no queue.
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2
The agent reads the PDF
Supplier, line items, totals, dates and currency are extracted as structured fields.
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3
It checks the purchase order
Your ERP is queried and the totals are compared. A mismatch stops the run here.
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4
It posts the invoice
The record is created in your accounting system with the document attached.
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5
A person approves payment
Anything over your threshold lands in an approval queue with the reasoning shown.
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6
The run is logged
Inputs, decisions and outputs are stored, and the outcome informs the next one.
Working With Us From Anywhere
Discovery, the build and the handover all run remotely by default, whatever timezone your team sits in. That keeps the cost sensible and the timeline honest — and it means where you are based has no bearing on what you pay.
For the phases that genuinely benefit from being in the room, usually the first working sessions and launch week, we plan on-site time into the schedule.
How it works
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1
Talk
A 30 minute call. You describe the process, we tell you if it is worth doing.
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2
Scope
Fixed price, fixed timeline, written down before anyone commits.
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3
Build
Working software every week, not a status report at the end.
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4
Hand over
Migration, training, documentation and the keys.
Questions people ask
What are AI automation services?
Design and build work for systems that carry out business processes on their own: reading incoming documents and messages, deciding what happens next under your rules, updating the systems you already use, and bringing a person in where approval is needed. In practice that covers invoice processing, inbox triage, CRM updates, order handling, reporting and onboarding.
How is an AI agent different from a chatbot?
A chatbot returns text. An agent calls tools and changes real records, then reports what it did. The chatbot tells you the invoice total. The agent posts the invoice.
What business processes can AI agents automate?
The repetitive ones with clear rules and a clear system of record. Data extraction from PDFs and email, classification and routing, CRM updates and deduplication, order and ticket movement, reconciliation between two systems, recurring reports, follow ups and onboarding checklists. If a task needs judgement about people or large sums, it becomes an approval step rather than an automated one.
Can AI agents work with our existing CRM or ERP?
Yes, and you do not need to replace anything. Agents connect to HubSpot, Salesforce, Pipedrive, Zoho and Odoo, along with QuickBooks, Xero, Sage and Stripe on the finance side, through their APIs. Anything with an API or webhooks can usually be connected.
Can AI agents handle WhatsApp and email communication?
Yes, within the channels you already use. WhatsApp, Gmail, Outlook and Slack can each act as an input when an enquiry arrives and as an output when an update goes out. Messages can be logged, classified and routed, replies can be drafted for a person to approve, and anything the agent should not answer is handed to a human with the full thread attached.
How does human approval work?
You decide where the line sits. Anything financial, contractual or irreversible waits in an approval queue with the reasoning shown. Below a set confidence level the agent stops and asks instead of guessing, every action is logged, and any step can be reversed in one click.
Does our data go to an AI vendor?
Only if you want it to. We can run open models on your own servers so nothing leaves your infrastructure. Where a hosted model is the better fit, we scope exactly what is sent and what is not.
How soon do we see a return?
A single well chosen workflow usually pays for itself within one to three months. We agree the baseline up front so the number is verifiable rather than a claim.
