Consero global triples analyst capacity by cutting manual financial review 90%

Consero Global runs financial operations on behalf of a growing roster of client companies: reviewing financial statements, checking data accuracy, and writing an executive summary for every account, every cycle. Demand for that service was accelerating.

Customer Story

Consero Global

Finance-as-a-Service

Consero logo
Industry
Finance-as-a-Service
Situation
Growing fragmented tech stack was affecting productivity and revenue as the business scaled.
Offering
PrimarythinkOne SecondarythinkAI
Key Result
40%
Revenue increase with no corresponding growth in overhead.
Client logo
Project details
Industry
FaaS
situation
Manual, line-by-line financial review hampered operations with growing customer base
Offering
thinkOne
thinkAI
key result
90%

Less manual effort on client-facing executive summaries

The problem

The work was consistent, but the model that delivered it wasn't built for the growth Consero Global was winning. Analysts spent most of a review cycle reading clean data end to end, the same as they spent on the handful of lines that actually needed judgment.

Each new client added a fixed slice of manual review time, so growth added headcount at close to the same rate, and the summaries took as long to write as the review itself.

Why thinkbridge

Continuing to scale the existing process meant hiring analysts at the pace of client growth. a path that protects quality but not margin. It keeps analysts on volume work instead of the judgment work they were hired for. Consero Global required a system built around its own review process, not a generic reporting tool it would have to work around.

Implementation & solution

Identifying which parts of the review process were worth automating was thinkAI-shaped work. Using the areas identified,  thinkbridge built an AI-native financial review system inside Consero Global's existing workflow, accelerating a shift toward higher-value analyst work the firm was already pursuing. The system sits inside thinkOne scope, as Consero Global's internal review layer.

The system reads financial documents and past reporting narratives, applies anomaly-detection models trained on Consero Global's own historical data to flag the lines that need a human look, and drafts a first-pass executive summary for each client account. The effect is an exception-based review that puts analyst time, where it counts.

Results

90% less manual effort. Client-facing executive summaries, time analysts now redirect to new accounts and judgement work.

75% faster financial data analysis. Shortening the path, across client accounts, from data to decision for clients

3x analyst span of control. Each analyst now carries roughly three times the client load without a drop in review quality, capacity Consero Global can put straight toward new client growth

Reporting is more consistent cycle to cycle, and analysts now spend their time on the anomalies and judgement calls the review turns up, not on routine checks.

The problem

Every new client added another point tool to a stack that could not talk to itself: one system for reconciliation, another for reporting, another for client communication. Account managers absorbed the gap by hand, re-entering data, chasing exceptions, and stitching together updates one client at a time.

The labor hiding between those systems set a hard ceiling on how many accounts one person could run. Every added client added headcount and overhead before it added margin, and the firm needed a way to grow revenue without growing cost at the same rate.

Why thinkbridge

The realistic alternative was a sixth point tool bolted onto a stack that five tools had already failed to fix. The firm required one platform built around how it delivers the service: intake, reconciliation, exception review, and client reporting as a single flow.

That kind of system around a client's own operations is the thinkOne solution.

Implementation & solution

Production stage, thinkOne primary, thinkAI ancillary. thinkbridge and the firm's own team designed and built one delivery platform in place of the old tool stack. The platform automated the repetitive parts of the job: invoice processing, reconciliations, and routine reporting.

AI-driven exception review then routed staff attention to the anomalies that required a judgment call. Real-time dashboards gave the firm's internal team and its own clients a shared, current view of the numbers, replacing the periodic manual updates the old model ran on.

Metrics

The new platform closed the gap between growth and cost that the old stack had opened.

90%

Less manual effort on executive summaries

75%

Faster financial data analysis

3x

Analyst span of control
wave

Results & metrics

The new platform closed the gap between growth and cost that the old stack had opened.

90%

Less manual effort on executive summaries

75%

Faster financial data analysis

3x

Analyst span of control

Scope a thinkOne build, starting with an Uncovery.

That will actually increase your bottom line