For accounting firms

Your methodology, running across every client.

Spark prepares client close work the way your firm does it - drafts in Xero, workpapers with the formulas shown, and an audit trail your due-diligence team will actually like.

Now onboarding pilot practices.

We are building the multi-client tooling with a small group of firms. Bring one client's close; we run it approval-first, end to end, and shape the firm workflow around how your team actually works.

Draft bills and journals

Ready

Close workpapers

Ready

Named approvals

1 waiting

Review trail

Ready

Set the method once

Coding rules, close steps, and approval thresholds - Spark learns how your firm works and applies it consistently, engagement after engagement.

Every draft reviewable

Bills, journals, and workpapers arrive as drafts with the working attached. Your staff approve in Slack; nothing posts without a named sign-off.

Audit-ready by default

Who asked, who approved, what changed - recorded on every action, for every client. Due diligence stops being an archaeology project.

Built with pilot firms

What pilot firms shape next.

These are in active development - pilot practices get them first and decide how they work.

A channel per client, bound to that client's Xero org

In development

Automated missing-document chasing

In development

A firm console: close status across every client at a glance

In development

FAQ

Firm rollout questions, answered.

How Spark supports client context, repeatable workflows, and visible review.

Can a firm standardise workflows across clients?+

Yes. Spark is designed around repeatable firm methods: coding rules, close steps, document requests, and approval thresholds can be rolled out consistently.

Does each client get a separate context?+

Each client engagement keeps its own Xero connection, approvals, and audit trail. Channel-per-client context is rolling out with our pilot firms.

Can Spark chase client documents?+

Automated client chasing is in development with pilot firms. Today Spark prepares the work, shows what is missing from the ledger, and keeps the review trail current - the chasing stays with your team for now.