Your stack tracks work
But your team still moves the data. The portal has the document. The practice-management tool has the task. Excel is where the real cleanup happens.
FIG_001 [ AI agents + your existing workflow ]
Your accountants
should review the work.
Not spend Friday night
preparing it.
We build AI agents for accounting firms around the way your team already works. They handle document intake, client chasing, reconciliation prep and knowledge lookup across the tools you already use. When plain rules are safer and more reliable, we build those instead. The goal is a faster, more reliable process, not more AI.
30%of engagement time can go to collecting and processing documents
10–12 daysis a common month-end close window for manual teams
1–5 hoursa day can disappear into searching for information
Industry benchmarks from our market research, not promised results. We establish your real baseline during the workflow audit.
You already have enough software.
SEC_01What you need is a cleaner way through the gaps between those tools: download, rename, copy, chase, reconcile, check, repeat.
AI is not the goal
Stable, rules-based work should stay rules-based. We use AI only where messy inputs, context or coordination make it more useful than conventional automation.
Adoption comes before novelty
AI projects stall when employees are asked to abandon how they already work. We fit agents into familiar steps and tools instead of creating a parallel process.
We build agents around the work already happening.
SEC_02Document intake agent
Pull invoices, receipts and bank statements from email or portals. Classify them, extract the fields, keep the source attached and route low-confidence items for review.
Less PDF-to-Excel workA source behind every field
Client follow-up agent
Send specific requests, follow up automatically, show clients what is still missing and stop asking for documents they have already sent.
Fewer back-and-forth emailsA cleaner start to every engagement
Close preparation agent
Match transactions, apply your coding rules, prepare reconciliations and put unusual items in an exception queue instead of burying them in another spreadsheet.
Your rules, not generic guessesReview the exceptions, not every line
Firm knowledge agent
Make prior workpapers, internal guidance and approved research searchable, with answers that point back to the material they came from.
Less hunting through old foldersNo answer without a source
Onboarding agent
Turn intake data into a clean internal handoff, draft engagement letters and proposals, and keep billing details from being re-entered three times.
Shorter time from yes to startedFewer dropped details
Deterministic automation
Not every process needs an agent. Stable calculations, routing rules and approvals often belong in conventional automation because it is simpler to test, trust and audit.
No AI where rules are enoughReliability over novelty
CLOSEOPS / AGENT CONTROL
Your team keeps its process. The agent works inside it.
We connect the agent to the same steps, tools and approvals your staff already uses. It handles repetitive preparation in the background, then surfaces exceptions where your team already expects them.
01 · Existing tools and approval paths preserved
02 · Deterministic rules used before AI
03 · Every exception retains its source
What changes when the prep work stops piling up.
SEC_03| Ref | Before | After |
|---|---|---|
| OUT_01 | Every file gets opened | Your team reviews low-confidence fields and exceptions, with the original document one click away. |
| OUT_02 | Close compresses the month | Preparation runs in the background as data arrives, instead of beginning when the deadline is already close. |
| OUT_03 | Client growth means more hires | The firm can absorb more work before adding the next layer of junior headcount. |
| OUT_04 | Partners answer repeat questions | Approved firm knowledge is available with sources, while judgment calls still go to the right person. |
| OUT_05 | Advisory gets whatever time is left | Senior staff get more room for analysis, client conversations and higher-value work. |
Built for people who are still responsible for the answer.
SEC_04We do not force AI into work that does not need it. Stable rules stay deterministic. Agents are used where they can handle messy inputs, context or coordination without weakening the audit trail.
Trust is the product.
Speed comes after.
Source traceability
Every extracted field and generated answer can point back to the document, rule or approved material behind it.
Human approval
Your accountants keep control of judgment, material exceptions and final sign-off. The system prepares. Your team decides.
Confidence and exception handling
Uncertain outputs do not slide through quietly. They are flagged, queued and shown with the context needed to review them.
Access and audit logs
We design around role-based access, data boundaries and a record of what the system did, when it did it and who approved it.
Improve the workflow your team already uses.
SEC_05Map the real workflow
We sit with the people doing the work, follow the steps they actually take and put a number on the hours, errors and delays. You get the map whether or not we build it.
Fit the agent into it
We preserve the familiar sequence, approvals and tools. The implementation removes repetitive steps instead of adding a parallel process employees have to learn.
Prove adoption and expand
We measure time removed, exceptions caught, review effort and whether staff actually use the new capability. If the numbers hold, we move to the next process.
// No big-bang rollout. No forcing staff into a new process just to say it uses AI.
Five firms at a time. That is the model.
We cap active work at five accounting firms. Not to manufacture urgency. It lets us stay close to your process, move quickly when something breaks, and be precise about the details.
The same people who map your workflow stay involved through the build, testing and rollout. When the five spots are full, new projects wait.
This works best when the pain is already obvious.
SEC_06A good fit
- Your firm has 5–25 staff and more work than the current process can comfortably absorb.
- People regularly move data between PDFs, email, Excel, portals and accounting software.
- Your team has a repeated process and people who can show us how it actually runs.
- You care about adoption, controls and measurable efficiency as much as speed.
Probably not yet
- You want AI whether or not it makes the current process safer, faster or easier.
- You need an agent to make unsupervised judgment calls your team would not trust a junior employee to make.
- You want to redesign the process before anyone has mapped how the current one actually works.
- You expect staff to adopt a second system on top of the workflow they already use.
SEC_07
Questions you should actually ask.
Are you trying to replace our accountants?
No. The useful line is between preparation and judgment. We automate the repeatable collection, classification, matching and drafting around the work. Your team reviews exceptions, applies judgment and owns the answer.
Does every process need an AI agent?
No. When the inputs, rules and outputs are predictable, deterministic automation is usually safer, cheaper and easier to audit. Our recommendation may be an agent, a conventional automation, a smaller software change or no build at all.
Will our team have to learn a new workflow?
Usually not. We start with the sequence, approvals and tools your team already uses, then remove repetitive steps from inside that process. A successful implementation should feel like fewer steps in familiar work, not another system employees have to remember.
Do we need to replace our current software?
Usually not. We start by connecting the tools already embedded in your firm. If one expensive product is the actual bottleneck, we can evaluate a smaller custom replacement, but replacement is not the default.
Will this work with our specific stack?
That is one of the first things we test. QuickBooks, Xero, tax software, document portals and practice-management tools all expose data differently. We check the available APIs, exports and permissions before recommending a build. If a tool cannot be integrated safely, it goes in the audit findings, not under the rug.
How do you handle sensitive client data?
There is no one-line security answer that fits every firm. Before a build, we document what data the workflow touches, where it is processed, who can access it and what gets logged. The design then uses the narrowest access needed, with human approval around sensitive actions. Your security requirements are part of the architecture, not a review at the end.
What happens when the agent is unsure?
It should say so. We use confidence thresholds and exception queues so uncertain items go to a person with the source attached. Quiet guessing is not an acceptable workflow.
How do we know the project paid off?
Before building, we agree on the number the workflow should move: preparation time, review time, turnaround time, error rate, cost per engagement or capacity. Then we measure it on real work.
Show us the workflow your team is tired of doing by hand.
We will map where the hours go and recommend the right fix: an AI agent, deterministic automation, a smaller software change or no build at all. Then we show how it fits the process your team already follows.
Book a workflow auditBring one process, a few real examples and the person who knows where it breaks.