Sequence secures £15m to cut days from billing cycles using AI agents
This article covers Sequence, an AI startup, which has raised a £15m Series A to expand AI agents that automate revenue operations. The funding aims to support finance teams and startups with complex pricing by automating billing, contract intake and dunning workflows to reduce manual revenue operations and accelerate cash collection.
Sequence has raised a £15 million Series A to expand AI agents that automate revenue operations — a move that targets a long-neglected part of the finance stack and could shave days from billing cycles for companies with complex pricing and bespoke contracts.
Why it matters
Revenue workflows — billing, collections and revenue recognition — remain unusually manual compared with payroll, payments and spend management. Finance teams still cope with spreadsheets, ad hoc tooling and bespoke engineering work to support custom deals and modern pricing models. That friction costs time and money and can leave revenue uncollected.
Sequence says its platform replaces repetitive finance tasks with agentic automation that integrates contract intake, invoice review and dunning workflows. If it delivers at scale, the approach could reduce headcount spent on routine revenue operations and speed up cash collection across what the company describes as a $165 billion-plus order-to-cash market.
Inside the product
Sequence, an AI startup, describes itself as an AI-first revenue platform built on a foundational data model that supports usage tiers, seat overages, ramps, temporary discounts and other bespoke terms. The product is organised around autonomous agents that operate under human supervision:
- Contract agent: parses signed contracts and turns them into billing and invoicing schedules synchronised with CRM and ERP.
- Invoice review agent: flags anomalies and variances before invoices are issued.
- Dunning agent: automates follow-ups and reconciles payments.
The platform also includes a “watchtower” command centre intended to give finance teams oversight of agent activity and straightforward handoffs between humans and automation. Sequence says it deploys in days rather than months, and keeps billing mathematics deterministic while layering AI where it reduces manual effort.
Sequence reports a recent run-rate of 100 customers, claims 10x ARR growth over the last year, and says it now automates more than $1 billion in annual invoice volume for customers including Incident.io, Bridge, Legora, Cognition, Runway, 11x, Raspberry AI, Moonpay and Bill.com. Example relevance: Incident.io is a tooling company for incident response; Moonpay is a payments provider for web3; Bill.com offers AP/AR automation — each illustrates different billing complexity Sequence aims to handle.
Who are the investors?
The Series A totals £15 million and brings Sequence’s funding to about $40 million to date. The round was led by 645 Ventures and includes participation from a16z, Firstminute Capital, Vor Capital, Passion Capital and Dig Ventures, alongside a syndicate of founders and executives (the announcement names participating CFOs from Decagon, Klaviyo and Wise).
645 Ventures is an early-stage firm that invests at Seed and Series A and manages over $550 million in assets under management. The company says the new capital will accelerate work on Sequence’s agent roadmap and expand engineering and go-to-market teams.
In the announcement, Nnamdi Okike and William Hess of 645 Ventures, said:
Sequence is transfiorming revenue operations with AI thatʼs fiast, accurate, and filexible enough fior any contract. Their approach fiinally gives fiinance teams the control and efifiiciency theyʼve been waiting fior, while adapting to the most complex deals. Weʼre excited to support Riya and the team as they scale Sequence into the category-defiining platfiorm fior revenue operations.
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Founder perspective
Sequence was founded by a team of repeat, exited founders and is led by CEO Riya Grover. She framed the problem as a choice finance teams face between manual work and brittle systems, and positioned Sequence as an alternative that lets sales use complex pricing while keeping finance in control.
In the announcement, Riya Grover, CEO of Sequence, said:
“I started Sequence afiter a decade watching fiinance teams fiace an impossible choice: drown in manual billing work or rely on systems that break when sales teams close custom deals. Hereʼs whatʼs happening in fiance teams – brilliant people spend 80% ofi their time on repetitive tasks like calculating invoices by hand, chasing unpaid bills, and reconciling transactions, while revenue slips through the cracks because complex contracts are hard to track. Sales shouldnʼt be constrained by what the billing engine can support. With Sequence, teams can price and sell in the way thatʼs best fior customers and the business, while Finance has peace ofi mind knowing every contract, no matter how custom, is handled accurately.”
A customer quote in the announcement illustrates the short-term impact Sequence claims to deliver.
In the announcement, Billy Motherway, Arch, said:
“Iʼve been pushing to move away firom Stripe Billing fior a long time. We evaluated other billing and contract-to-cash platfiorms, but none ofi them ofifiered the billing filexibility required fior our custom contract terms. Since adopting Sequence, we’ve cut our monthly billing time firom 3 days to 2 hours, and more importantly, have recovered hundreds ofi thousands in revenue that was sitting in contracts previously too complex to bill manually.ˮ
The bigger picture
Sequence’s raise sits within a broader wave of investment in AI tooling for enterprise back-office functions. Startups that apply generative and task-focused AI to deterministic workflows are attracting capital because they promise measurable efficiency gains without entirely replacing human oversight.
For the UK and European ecosystem, the company’s traction — customers across payments, observability and developer tooling — highlights demand from fast-growing businesses that use bespoke contracts and modern pricing. The round also reflects continued interest from AI investors in companies focused on automating finance processes rather than consumer-facing applications.
As enterprise finance teams look to move away from spreadsheets and long integrations, vendors that can combine deterministic billing math with targeted AI automation may find steady demand across the region.
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