For larger firms

AI at scale needs more than automation. It needs control.

As more teams, offices and systems touch an engagement, the question changes from whether AI can do a task to whether the firm can trust how that task is governed.

Start with one bounded workflow, one control model and one measurable result.
Book a workflow reviewSee the product

The scale problem

At larger firms, inconsistency becomes a control problem.

The value of automation disappears quickly if teams cannot see evidence, ownership, exceptions and human approvals.

Many teams touch the same work

01

Handoffs multiply across service lines, managers, offices and specialized systems.

Controls matter as much as speed

02

The firm needs to know what AI changed, why, from which evidence and under whose approval.

The existing stack is not going away

03

Tax, workpaper, ledger and practice systems already have important specialized roles.

A broad rollout is risky

04

A credible first step is a bounded workflow with a clear owner and measurable result.

What changes

Move from isolated automation to controlled engagement execution.

AI actions should stay tied to evidence, permissions, review policy and a visible next action.

Today

Automation lives in separate tools
Teams reconstruct context
Controls vary by workflow
Ownership is unclear at handoff
Transformation projects start too broad

With Coalesc

Keep evidence with actions
Use explicit human checkpoints
Track ownership and exceptions
Work around specialized systems
Expand only after a bounded workflow proves value

Live today

Start with the work that has to happen before accounting can move.

Coalesc already handles the repetitive loop around incoming documents, missing items, client follow-up and bank-data preparation.

01Live

Collect

Client documents arrive through familiar channels and stay tied to the right engagement.

02Live

Understand

Coalesc organizes what arrived and identifies the right context.

03Live

Complete

Missing items stay visible and can be followed up until they arrive.

04Live

Structure

Bank statements become usable data for the firm’s existing systems.

Where we are going

A controlled workspace around the engagement, not another system that must replace everything.

Coalesc is being built to coordinate AI and human work around the systems a firm already trusts, with evidence and review visible at each consequential step.

Automation

AI prepares

CollectExtractPrepareCheckFollow up
Judgment

Accountants decide

ReviewCorrectUse judgmentResolve riskApprove
Continuity

Coalesc keeps it moving

Preserve evidenceTrack statusTrack ownershipSurface exceptionsRoute next actions
↑

Scale outcome

Standardize control while increasing capacity.

The goal is not enterprise-wide automation on day one. It is proving that one workflow can move faster without losing evidence, accountability or judgment.

One workflow → one control model → one expansion decision

When Coalesc fits

When a bounded workflow is painful enough to justify a serious pilot.

We should earn expansion by solving one measurable operating problem, not by asking the firm to replace its stack.

Several teams touch the workflow
Security and controls are part of the buying process
Existing systems must stay
The firm can name a bounded pilot
Success can be measured operationally

Bring one workflow, not a transformation mandate.

We’ll define the bottleneck, the control boundary and the result that would justify expanding.

Book a workflow review