AI Workflow Automation That Takes Repetitive Work Off Your Team

Anything your team does repeatedly that involves reading, deciding and acting on information: lead qualification, invoice processing, support ticket triage, appointment booking, order intake, candidate screening, reporting and data entry between systems. If a person follows roughly the same steps each time, it is usually a good candidate.

Most of our work is for sales, finance and accounting, customer support, operations and HR teams, in industries such as healthcare, restaurants, e-commerce and professional services. We also build automation into software products, so a SaaS company's own customers can have AI do work inside the app.

Most builds fall within our sprint range of $3K to $60K over 1 to 10 weeks. A single workflow on two or three tools sits at the lower end; multi-step flows across several systems with approvals sit higher. You get a fixed quote after the free workflow audit, and you can start with a 1-week risk-free trial.

A focused workflow usually goes live within a single sprint. Larger flows that touch many systems are delivered in stages, so something useful is running early. We can start within 48 hours of agreeing scope.

No. We handle design, build, hosting, testing and monitoring. You need someone who knows the process well and can give us access to the tools involved. If you do have engineers, we work alongside them and hand everything over with documentation.

Yes. We review what you have, fix what is fragile, and add error handling, retries and alerts. Where a no-code tool has hit its limits on cost, logic or reliability, we rebuild that part as custom code and keep the parts that work.

Any system with an API, plus email, spreadsheets and documents. That includes CRMs, accounting and ERP systems, help desks, calendars, e-commerce platforms, team chat and your own databases. We build on automation platforms or agent frameworks when they fit, and fully custom when they do not.

Robotic process automation (RPA) and if-this-then-that rules follow fixed steps and break when an input looks different. AI automation can read unstructured content like emails, PDFs and chat messages, handle exceptions and make judgement calls within the limits you set. We often combine both: rules for the predictable steps, AI for the messy ones.

We design for it. Risky or costly actions such as refunds, payments or messages to key customers wait for a person to approve. Low-confidence results are routed to your team instead of acted on, every run is logged step by step, and we test on your real data before anything goes live.

Every workflow is monitored. Timeouts and temporary failures are retried automatically, and if a step keeps failing your team gets an alert in minutes, with the run log showing exactly where it stopped. Under ongoing support, we update the integration when an app changes how it works.

We sign an NDA from day one, use least-privilege access to your systems and keep credentials out of code. Where needed, automations run inside your own cloud account, and we choose AI providers and settings that do not train on your data. You own 100% of the code and IP.

You can take them over with our documentation, or keep us on for ongoing support. That covers fixes when an app or API changes, regular checks on runs and AI costs, and building the next workflows on your list.

It is a 30-minute call with an engineer. You walk us through the work your team repeats, a screen share is enough, and we come back with a ranked shortlist of what to automate first, a rough scope and timeline, and a straight answer if AI is not the right fit. There is no obligation to build with us.