AI automation that takes the manual work out of your operations
Agents and automations for the workflows that eat your team's week, built on the systems you already run, delivered in weeks, and measured in hours recovered.
An AI automation agency builds systems that read, decide and act on the routine work in a business: answering inbound leads, extracting data from documents, chasing and reconciling numbers, drafting reports, handling support. TechBrig does this with design and engineering in one team, on top of one live data layer reconciled from your existing tools.
A first system is scoped to one workflow and delivered in weeks. It runs alongside the manual process until it has earned trust, and the next workflow reuses the same foundation. Everything runs inside your own tenancy, and nothing is used to train models.
The workflows where the hours actually go
Each of these is a system we have built before, on a client's own data and tools.
Inbound leads and speed-to-lead
Every call, form and email answered in seconds on the channel it came in on, qualified against your criteria, booked and logged to the CRM. Follow-up sequences keep the pipeline moving.
Document intake and extraction
Invoices, statements, contracts, forms and data rooms read on arrival, the figures extracted into your systems, and anything missing or inconsistent flagged for a person.
Reporting and dashboards
Numbers collected from every source on schedule, reconciled into one live model, with the variances flagged and the packs, briefings and client reports generated rather than assembled.
Back office, finance and admin
Invoices matched and posted, approvals routed with context, time captured from email and calendar, recurring admin run on a schedule. People review exceptions instead of entering data.
Customer support and inbox
Routine messages answered from your own documentation and records, the rest drafted for approval, urgent ones routed. The team handles exceptions, not volume.
Sourcing, screening and scheduling
Candidates ranked against every open role, screening calls scored, interviews scheduled across panels and time zones without the email ping-pong.
From first call to a system that stays in use
Audit
Where the hours go and which systems hold the data, often starting from the free AI Readiness Roadmap.
Scope
One workflow, a definition of done, and what it needs from your side, agreed before work starts.
Build
The system delivered in weeks and run alongside the manual process until it has earned trust.
Adopt
A named owner on your side, hours measured against the roadmap, and the next workflow queued.
Built, shipped, measured
Questions people ask before they call
What is an AI automation agency?
A team that designs and builds AI systems which take manual work out of a business: agents that read and respond to inbound leads, extract data from documents, chase and reconcile numbers, draft reports and handle support, connected to the software the business already runs. TechBrig is one, with design and engineering in the same team.
What can be automated with AI today?
Any workflow that is repetitive, lives in email, documents and spreadsheets, and ends with a person making a routine decision. The common ones are inbound lead response, document intake and extraction, reporting and dashboards, back-office and finance admin, customer support and scheduling.
How is AI automation different from traditional automation like Zapier?
Rule-based tools move data between fields. AI automation reads, understands and drafts: it can take an unstructured email, a PDF or a call transcript and turn it into a structured action, with a confidence score and a human approving the uncertain ones. The two are often used together.
How long does an AI automation project take?
A first system is scoped to one workflow and delivered in weeks. It runs alongside the manual process until it has earned trust, then the next workflow reuses the same data layer and goes faster.
Do we need an engineer on our side?
No. What we need is the person who does the work today, for an hour or two a week, to say what good looks like and check the first outputs. The build, integrations and maintenance sit with us, and you keep a documented system with a named owner.
Is our data used to train AI models?
No. Everything runs inside your own tenancy, and models are called through enterprise agreements under which your data is not used for training and is not retained.
How do I know if AI would pay off for my business?
Take the AI Readiness Roadmap: ten questions, four minutes, and a scored roadmap that ranks the opportunities with hour ranges derived from your answers. Or book a thirty-minute call.
Want to know which workflow to automate first?
Thirty minutes with Ishaan, or four minutes with the AI Readiness Roadmap. Either way you leave knowing where the hours are.
Book a free callor write to us at [email protected]