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Four ways we take work off an operating business.

We are not selling an AI strategy report. We identify an operational problem, decide whether AI belongs in the solution, build it into the systems you have, and support it in production.

01

AI and workflow automation

We look for repetitive work that is expensive because people are doing it by hand. AI is one tool. Integrations and ordinary software are the others. We use the option that will still make sense after the novelty wears off.

  • Document processing and data extraction
  • Invoice and purchase order workflows
  • Internal knowledge assistants with a person still in the loop
  • Operational reporting
  • Customer support and service workflows
  • Business process orchestration

Proof: we run our own operation this way. Rob's agents answer Slack, review pull requests and write code inside the company's own accounts, and a person approves what leaves. Measured over 28 days, with the numbers on the page. Read the Bridge case study

02

Custom software and systems integration

Most companies do not need a new platform. They need the systems they already pay for to talk to each other, and a few tools that match how the work actually happens.

  • Internal operational platforms
  • ERP and CRM integrations
  • Customer and employee portals
  • Workflow applications
  • API integrations
  • Custom business tools

Proof: PomPay Financial, a storefront where wallet screening, identity verification, transaction limits and supplier fulfillment run on rules across four providers, with every boundary verified and reconciled. Read the PomPay case study

03

Software modernization

When the business depends on software that has grown awkward, we change it in production-safe increments. The goal is a system the next feature can land in, without pausing the operation that pays for it.

  • Legacy systems evolved in place
  • Technical debt reduced in the order of business risk
  • Cloud and infrastructure improvements
  • Performance work on the paths that actually hurt

Proof: Stoke, a lending platform changed in production for more than four years, where agents were added to the credit pipeline behind hard gates without pausing the operation that pays for it. Read the Stoke case study

04

Long-term engineering partnership

The first system is rarely the last. CollectDev stays accountable for what it builds, helps decide what to build next and what to leave alone, and can act as the senior technical voice for a company that does not have one in house.

  • Ongoing support for the systems we build
  • Fractional technical leadership
  • Help prioritizing what to build and what to leave alone
  • Vendor and platform decisions with someone on your side of the table

Proof: Tour Time Golf, a product Rob built, ran and then sunset, written up candidly so the lessons about founders, payments and compliance are on the table before your engagement starts. Read the Tour Time Golf case study

Who this is for

The conversation on this site applies the same rules before the call. If the work is not a fit, we will say so rather than sell an assessment.

A good fit

  • An established business with real processes and the people who run them.
  • Work that repeats: orders, invoices, approvals, reports, customer requests.
  • Systems you already pay for, such as an ERP, a CRM, and spreadsheets, that do not talk to each other.
  • Software the company depends on and is afraid to change.

Not a fit

  • A new SaaS product or an MVP for a startup.
  • A chatbot for its own sake.
  • An AI roadmap written as a document and left there. We build roadmaps from the processes a company actually runs, and we expect to help deliver them.

Tell us what is taking too much time.

Describe the work in a short conversation. You get an honest read on whether software, an integration, or AI belongs, and a sketch of how we would attack it. Rob reads the brief before the call.