AI for better
financial decisions.
We’re building a financial AI decision centre for software businesses. It brings financial and operational data together to explain what’s happening, evaluate your options and help your team act.
See the whole picture.
Choose what happens next.
Understand why something happened, explore the consequences of a different choice and review a prepared next step. Payments, spending and cash planning share the same business context.
Financial AI
Next 30 days
What should we do next?
Noma’s card expired.
The account is still active, but another payment attempt needs a valid card.
“Our old company card expired. Please send the update link to our finance team.”
Recommended action
Ask the billing contact to update the card before retrying the payment.
Review prepared follow-up
Update payment details
Hi, thanks for flagging the expired card. I’ll send your finance team a secure link to update the payment details. Once those are updated, we can retry the renewal payment.
View the source records
Invoice INV-1042
Annual renewal: €12,400. Payment failed. The next attempt needs valid payment details. This amount is included in the base plan’s €42,000 expected receipts.
Product activity
18 active users this week. Activity provides context; it does not confirm that the customer will pay.
Projected cash impact
€55,600
€4,400 below your cash reserve
Starting the hire later keeps projected cash at €61,600 in this period.
- Starting cash
- €68,000
- Expected receipts
- +€29,600
- Planned outflows
- −€42,000
Your numbers,
with the missing context.
Bring the relevant billing records, cash movements and contracts into one review. Usage and conversations explain the amounts; your team checks the recommendation before acting.
- 01 Understand the business
- Read financial history alongside contracts, product usage and customer conversations.
- 02 Reason through the options
- Compare timing, financial consequences and the effect on the customer relationship.
- 03 Prepare the next action
- Turn the recommendation into a follow-up or a decision brief for your team to review.
Research · Payment recovery
Did the action
make a difference?
Research and incubation.
Retilíneo Pulsar, the company behind TailSigma, has a payment-recovery research project with the Polytechnic University of Viseu. The company is incubated by Empowered Startups.
Our research starts with payment recovery.
Some customers pay without another retry or reminder. A recovery rate alone doesn’t show whether an action made a difference.
We propose comparing each action with a baseline, then measuring how much more it recovers after costs.
Custom AI development
Need AI for
another workflow?
We also build custom AI systems around your company’s data and workflows, from a focused prototype to a system your team can use.
Tell us what you’re working on- Internal assistants
- Find answers across company documents and records, with the sources attached.
- Document processing
- Extract information from documents and pass it to the systems your team uses.
- Decision tools
- Compare options using your business rules, with evidence behind each recommendation.
Request early access
to TailSigma.
Email us about the systems you use and the financial decisions that take too much work. We’ll discuss your workflow and whether the first release is a fit for your business.
Request early access contact@tailsigma.com