Implementation
AI automation services
AI automation services, the way we do them: find the back-office processes where automation actually pays, build it into the systems you already run, and put guardrails on it so it can be trusted with real work.
What we automate
The automation that pays is usually unglamorous: high-volume, rules-heavy work your teams do by hand because the systems don't talk to each other. Three areas cover most of it:
- Document processing. Invoices, claims, contracts, and intake forms read, extracted, and routed into the systems that need them.
- Customer operations. Triage, drafting, and follow-up on the requests that arrive by the hundred, with a person on every escalation.
- Finance and back-office workflows. Reconciliation, reporting, approvals, and the handoffs between them.
If you're still deciding where AI fits at all, that's an AI strategy question first. If you're not sure your data and systems can carry automation yet, an AI readiness assessment answers that first.
A consultancy, not an agency
Search this term and you'll mostly find agencies: a monthly retainer, their platform, and a system that stops working the day you stop paying. We work as a consultancy. Everything we build runs on your infrastructure and is documented so your own team can operate it without us. No retainer to keep it alive, no software resale, no vendor commissions. Whether you call it AI automation services, AI automation consulting, or intelligent automation, the work is the same: automation your company owns.
Guardrails are part of the build, not an add-on. Access rules, data boundaries, and audit trails go in from the first version; how we govern automated systems is on the AI governance consulting page and in our AI compliance framework guide. If the worry is AI already in use, start with an AI risk assessment instead.
How the engagement works
We don't quote a build on a hunch. Every automation engagement starts with a fixed-scope assessment: 3–6 weeks, priced at $20,000 to $80,000, and where in that range depends on scope: how many systems and teams we assess, company size, and regulatory exposure. You get a written recommendation with the numbers behind it: what to automate, what to buy, what to leave alone. If the honest answer is that automation won't pay, that's the recommendation, and the engagement ends there.
Builds that follow are scoped in phases with a working piece at the end of each. For market context, $50,000–$250,000 is the band from published 2026 ranges for a typical scoped production build; small builds start near $20k; that band is a single scoped build; multi-system, multi-year programs run seven figures and beyond, and scale like that is work we take. Our AI consulting rates guide breaks down what firms charge and why, and the services page shows the full engagement ladder.
What you get
- A process inventory scored by what automation is worth in each one.
- Automation built into the systems you already run, not alongside them.
- Guardrails and an audit trail on every automated decision.
- Documentation and handover so your team runs it without us.
- An honest measure, after it ships, of what it saves.
Who does the work
The senior people at Tillerbridge are Nick Major, the engineer who builds these systems, and Isaac Major, the operator who has run the kinds of teams they land in. No bench, no handoff after the sale. We're a young firm and we won't dress that up with invented case studies or logos; our backgrounds are on the about page. And if what you need is a standing senior seat rather than a build, that's our fractional chief AI officer service.
Questions people ask
- How much does AI automation cost?
- Our fixed-scope assessment runs $20,000 to $80,000; where in that range depends on scope: how many systems and teams we assess, company size, and regulatory exposure. For the build itself, $50,000–$250,000 is the band from published 2026 ranges for a typical scoped production build; small builds start near $20k, and that band is a single scoped build; multi-system, multi-year programs run seven figures and beyond, and scale like that is work we take. What firms charge and why is broken down in our AI consulting rates guide.
- How long does it take?
- The assessment takes 3–6 weeks. Builds are scoped in phases with a working piece at the end of each; a single scoped automation usually lands within a few months. We'd rather give you a real number after the assessment than a nice one before it.
- Who owns the automation you build?
- You do. It runs on your infrastructure, your team gets the documentation and training to operate it, and nothing stops working if the engagement ends. No black boxes, no vendor commissions, no software resale.
- What does an AI automation agency do, and do you need one?
- An agency builds and manages automations for you, usually on its own platform and a monthly retainer. That model fits small companies with no technical staff. At the scale we work, a few hundred to tens of thousands of employees, owning the system matters more than renting it, which is why we run as a consultancy instead: assessment, build, handover.
- What is the 30% rule for AI?
- A rule of thumb that AI should handle roughly 30 percent of a process, the routine part, while people keep the judgment calls. It’s a decent guard against over-automating, though the right split varies by process. Our AI readiness checklist helps you work out which parts belong on which side.
Tell us about the work.
A few lines is enough. We read every enquiry ourselves and reply within one business day.