Subsequence.ai

AI consulting & custom software

A technical partner,
on your terms.

A problem to solve. An idea to explore. Something you wish worked better.

We help businesses make practical use of AI, build software and get their systems working together. Start with one project, or keep us close as your needs change.

Let’s talk See what we’ve been up to
Two people sketching how business systems connect to reporting, software and AI
Good work starts with a conversation.

Start wherever you are

You don’t need
a technical brief.

Bring us your idea or a problem to solve. We’ll ask questions, work through the options and help you choose a useful place to start.

Know what you need?

We can help you build it and make it work with the tools you already use.

Still figuring it out?

We can help you understand the possibilities and decide what’s worth doing.

Ways we can help.

Software that fits

Focused applications and connections built around your data and tailored to your team.

AI that understands

Searchable knowledge and assistants with relevant context, clear limits and answers people can check.

AI training for your team

Practical training built around daily work, so employees understand their AI tools and use them effectively.

Systems that work together

Connections between your existing tools, so information moves where it’s needed and your team spends less time moving it by hand.

A clearer view

Reporting, forecasts and monitoring that help people see what matters.

Your business
knows a lot.It just lives in
different places.

We bring your scattered information into focus, connecting documents and systems so you can see the whole picture and put it to work.

A connected view

A foundation to build on

When scattered data is getting in the way, we collect, organize and connect it into a shared foundation that stays up to date as your business changes. Your tools can work from the same information, with consistent definitions and a clear path back to the source.

When you’re ready to build something new, that groundwork is already there. Each project can build on the last.

Already organized? Tell us what you want to build!

Selected work

What we’ve been up to

Subsequence.ai
Festival operations

Keeping the bars stocked at Spain’s largest music festival
The ask

Keep the drinks flowing.

From last count to first pour.

A client running 34 bars across a major festival site needed to turn nightly stock counts into next-day deliveries, with the right stock for each bar and a truck loaded in delivery order.

Where we started
The action

  1. Plan the next delivery

    We built an inventory and logistics system that connected mobile stock reports from bar managers with replenishment planning. It generated precise shipments for each bar, picking lists and efficient delivery routes, with pallet-by-pallet truck-loading plans matched to the delivery sequence.

  2. Keep the records connected

    Deliveries, transfers and returns stayed in a shared record that also supported the festival’s accounting process.

  3. Carry the value beyond the event

    After the event, we turned those records into detailed consumption reports by location, product and supplier. We then built a website that told the festival’s consumption story visually, giving the client a compelling way to present the findings to organizers, guide future planning and put concrete numbers behind next year’s sponsorship conversations.

Business intelligence

Turning scattered systems into answers in Slack
The ask

See the business as a whole.

And ask it questions!

A client’s business data was scattered across different tools, making it hard to see the whole picture.

The action

  1. Bring the information together

    We brought data from the client’s business tools into a structured, agent-readable data warehouse. Automated updates refresh the warehouse from the source systems on a schedule. That shared foundation gives the team a current, connected view of the business.

  2. Make it accessible

    We then built an agent the team can reach in Slack and connected it to that warehouse. The team can ask specific business intelligence questions and get answers drawn from the data brought together across their systems.

  3. Check the answers

    We also built validation, review and testing mechanics to check the agent’s answers against the underlying data and support the team’s strategic decisions.

Marketing decisions

Making sense of marketing spend
The ask

Know where the spend is working.

Ask your own questions.

A client’s marketing and finance teams needed to understand what it cost to acquire customers, whether that spend paid back and where performance was changing.

Where we started
The action

  1. Build a shared view

    We built a reporting and planning tool that brought advertising spend, marketing attribution, sales, customer behavior and costs into one view.

  2. Watch for changes

    We paired it with monitoring that compared funnel performance with past results and flagged unusual changes, helping the team spot problems and make informed decisions about where to spend.

  3. Connect their own AI

    We also built a connector that gave the team’s own AI tools access to the monitoring data and findings. They could ask specific questions, investigate changes and think through their next marketing move using the AI tools they already knew.

Employee training

Employee AI training, built around the business
The ask

Make the tools worth the investment.

Go beyond asking. Start doing.

A client wanted more value from the ChatGPT and Claude seats they were already paying for. We were brought in to help employees use those tools effectively and establish security protocols for their use.

Where we started
The action

  1. Teach the work and set the boundaries

    We paired practical training with reusable instructions and tools for recurring tasks, plus automated checks at key steps. Clear rules defined how company data should be handled, how outputs should be reviewed and which actions required human approval.

  2. Bring in business context

    We also connected their AI tools to systems we’d built for the business, giving employees access to the company’s data and context through the tools they already used.

  3. Make it repeatable

    Guides, video walkthroughs and project starter kits gave employees a repeatable way to start projects, preserve decisions and continue work across conversations.

What are you working on?

Tell us what you’d like to understand, build or make easier.

Let’s talk