Use the current tools
We connect around what already runs before replacing anything.
Accountancy firms
Use AI to triage documents, chase missing input, summarize client files, and create a reliable review queue for accountants.
Industry pages work best when they stay close to the daily operation. We start with the messy workflow, not with a generic AI demo.
We connect around what already runs before replacing anything.
The workflow must know when to stop and hand over to a person.
First proof is practical: fewer interruptions, faster follow-up, cleaner data, or lower cost.
The firm should keep professional judgement human, but the preparation layer can be far more automated.
Client documents arrive late, incomplete, or in the wrong channel.
Reviewers spend time finding context before doing actual accounting work.
Email follow-up depends on memory and busy-season discipline.
Standard SaaS tools do not reflect the firm's review policy or client segments.
The firm should keep professional judgement human, but the preparation layer can be far more automated.
| Generic practice tooling vs owned AI workflow | Rented SaaS | Owned workflow |
|---|---|---|
| Document intake | Files land in portals and mailboxes. | AI classifies, flags missing items, and prepares the review queue. |
| Client follow-up | Manual email templates and reminders. | Context-aware nudges based on deadlines, file status, and client behavior. |
| Knowledge | Locked in notes, email, and staff memory. | Reusable internal playbooks and source-linked summaries. |
| Risk | Automation stops at task management. | Human approval gates for advice, filing, and judgement-heavy items. |
Automate preparation first. Keep advice and final decisions inside clear review controls.
01
Separate bookkeeping, payroll, VAT, annual accounts, and advisory work.
02
Detect missing documents and draft client reminders with deadline context.
03
Route files by risk, deadline, client type, and reviewer availability.
04
Let AI summarize files only with references to the underlying documents.
Step 1: Client uploads invoices, bank exports, and payroll documents.
Step 2: AI classifies documents and detects missing periods or formats.
Step 3: Client receives a clear request for only the missing input.
Step 4: Reviewer gets a concise file summary with source references.
Step 5: Partner approves advice and client-facing outputs.
Relevant solutions
Use these proposition pages when you want to turn the industry example into a concrete buying path.
Practical guides
Read the implementation choices behind this workflow before you define scope.
It can be, if data handling, access, retention, logging, and processor agreements are designed before implementation.
Not as an autonomous first release. AI can prepare summaries and flags; advice should remain reviewed and accountable.
Usually yes through APIs, exports, or workflow middleware, depending on the firm's setup.