Custom software, AI and integrations
AI Workflow Automation Services
Connect business systems with reliable workflow automation, using AI for language-heavy tasks and deterministic rules for explicit decisions.
The engineering approach
Automation should make ownership clearer, not hide work in a black box. We map triggers, data ownership, exceptions and measurable outcomes before deciding which steps belong in rules, code, an AI model or a person.
The right implementation depends on your data, systems, risk tolerance and operating team. We help decide what should be configured, integrated or custom-built.
Production controls are part of the build.
We define data access, allowed actions, validation, monitoring and human escalation before a system is allowed to affect a customer, record or transaction.
Permissions
APIs
Data
Workflow
Use cases
Workflows we automate
Lead intake and qualification
Web forms, emails and calls are captured, enriched, scored against your rules and routed to the right person in the CRM, with a summary attached.
Document processing
Invoices, purchase orders, contracts and applications are read, the key fields are extracted and validated, and only uncertain items go to a person for review.
Support triage
Incoming tickets and emails are classified by topic and urgency, matched to known answers and routed, so your team starts with the right context.
Follow-up and reminders
Quotes, renewals, unpaid invoices and stalled deals trigger timed follow-ups, which stop as soon as the customer replies.
Reporting
Data from your CRM, accounting and operations tools is pulled together on a schedule into one report, with a plain-language summary of what changed.
Internal requests and approvals
Purchase, leave and access requests move through an approval chain with reminders, an audit trail and an escalation path.
Data entry between systems
Orders, contacts and job details are synced between the tools that do not talk to each other, ending double entry and copy-paste errors.
Meeting and call notes
Calls and meetings are summarised into CRM notes and next tasks for the account owner to confirm.
Tools and platforms
We build on what fits the job: n8n, Make or Zapier for straightforward flows, custom Node.js or Python services for heavier or sensitive processing, and LLM APIs for reading, classifying and drafting text. Every workflow keeps its rules, logs and credentials where your team can see them.
What AI workflow automation costs
AI automation projects start from $1,200, and a single, well-scoped workflow typically falls between $1,200 and $4,000. Workflows with several integrations, large document volumes or strict review requirements are quoted from a written scope. Running costs (automation platform, hosting and AI usage) are estimated up front so there are no surprises.
Frequently asked questions
What is AI workflow automation?
Automating a business process end to end by combining fixed rules, system integrations and AI for the steps that involve reading, classifying or writing text, with people reviewing the decisions that matter.
Which workflow should we automate first?
One with high volume, a clear trigger, an owner and a measurable outcome, such as lead intake, document data entry or ticket triage. Our free workflow assessment helps you pick.
Do we need AI, or are simple rules enough?
Often rules are enough, and they are cheaper and more predictable. We add AI only where the input is unstructured text, documents or conversations.
Will automation replace our staff?
The aim is to remove repetitive handling so your team spends time on exceptions, customers and decisions. Consequential actions keep a human approval step.
Is our data safe?
We map what data each step touches, restrict access to what the workflow needs, log actions and choose AI providers and settings that match your data requirements.
How long does it take?
A single, focused workflow can usually be live in weeks. Larger programmes are delivered one workflow at a time.
Get a scoped estimate
Tell us what you need. We reply within 24 hours with questions, next steps and a realistic cost range.
- A clear scope and cost range before you commit
- Fixed-scope proposal or phased estimate
- You own the code and the data
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