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AI Analytics for CPA Firms: Decision Intelligence for Firm Profitability

Practice CS tracks your time and billing. QuickBooks holds your firm financials. Karbon manages your workflows. Each system captures its piece of the picture — and none of them answer the question your partners ask every quarter: which clients, service lines, and engagement types are actually profitable? DataBlueprint connects Practice CS, QuickBooks, and Karbon read-only, builds a Knowledge Graph of your firm's relationships, and uses a private LLM powered by AWS Bedrock to answer your profitability questions in plain English.

What Is Decision Intelligence?

Decision Intelligence is not a reporting upgrade. It is a reasoning layer that connects your firm's systems, maps the relationships between them, and answers questions directly in plain English. DataBlueprint builds a Knowledge Graph from your connected CPA firm data — Practice CS time entries and WIP, QuickBooks invoices and expenses, Karbon workflow statuses, Thomson Reuters engagement records, Clio matter data. A private LLM powered by AWS Bedrock interprets your plain-English questions and returns sourced, traceable answers grounded in your actual records.

Why CPA Firms Are Running Out of Answers

Practice CS is a capable practice management platform. It tracks time, manages WIP, and handles billing workflow. Thomson Reuters delivers strong compliance tooling. QuickBooks records the firm's actual financials. But combining those sources to answer profitability questions is a manual process every time. Calculating effective hourly rate by service line requires exporting Practice CS time data, matching it against QuickBooks invoiced amounts, and building a formula someone has to maintain. Karbon users can see workflow progress — but not what that workflow actually cost to deliver versus what it billed.

What CPA Firm Leaders Can Actually Ask DataBlueprint

DataBlueprint connects read-only to Practice CS, QuickBooks, Karbon, Thomson Reuters, and Clio. The Knowledge Graph maps time entries, staff, engagements, clients, invoices, and payments. Here are questions your firm can ask on day one:

• ""What is our firmwide realization rate this quarter compared to last quarter?""
• ""Which partners have write-down percentages above 20% and on which engagement types?""
• ""What is our effective hourly rate for audit engagements versus tax preparation?""
• ""Which clients have had a realization rate above 90% for three consecutive years?""
• ""What is the average days from engagement close to invoice and how does that correlate with collection rate?""

Each answer is sourced. DataBlueprint names the Practice CS time records and QuickBooks invoice entries it used. A managing partner gets the answer in seconds — no billing coordinator loop, no spreadsheet, no end-of-month wait.

How Decision Intelligence Differs From Business Intelligence

Business Intelligence tools — including Practice CS reporting and Power BI exports — read tables and produce charts. They show history. They require someone to build the report and interpret the output. Decision Intelligence does the interpretation step automatically.

• BI reads tables. DI reads the business.
• BI requires a report builder. DI answers in plain English.
• BI shows what happened. DI tells you why and what to address.
• BI is a destination. DI is a question you ask.

DataBlueprint does not replace your Practice CS reporting module. It sits above it. When a billing report shows a realization dip in a service line, DataBlueprint is where you ask why — and get a traceable answer naming the partners, clients, and engagement patterns behind it.

Getting Started: What You Connect, What You Get

DataBlueprint connects read-only to Practice CS, QuickBooks, Karbon, Thomson Reuters, and Clio. No write access. No disruption to your billing workflow. The Knowledge Graph is built automatically from your connected systems. Setup for a typical firm takes one to two business days. The private LLM powered by AWS Bedrock runs within your secure data environment.

Frequently Asked Questions

How does DataBlueprint calculate realization rate for a CPA firm?

DataBlueprint calculates realization rate by comparing your Practice CS billed hours and amounts against the corresponding QuickBooks invoiced totals for each engagement. The Knowledge Graph links time entries to engagements to invoices automatically. You can view realization rate by client, partner, service line, or time period — with each result traceable to the source billing records.

Can DataBlueprint connect Practice CS and QuickBooks together?

Yes. Connecting Practice CS and QuickBooks is one of the primary use cases DataBlueprint is built for. The Knowledge Graph links your Practice CS time and WIP data with your QuickBooks billing and expense records. You can ask cross-system questions about effective hourly rate, realization by service line, or write-down patterns — and get a single sourced answer without any manual export.

What CPA firm metrics can I track with DataBlueprint?

DataBlueprint tracks any metric derivable from your connected systems. Common CPA firm metrics include realization rate, effective hourly rate, write-down percentage by partner, days to invoice after engagement close, collection rate by client segment, staff utilization rate, and revenue per engagement type. All are available through plain-English questions against the Knowledge Graph.

Does DataBlueprint work with Karbon for CPA workflow data?

Yes. DataBlueprint connects read-only to Karbon and includes job status, workflow stage, and task completion timing in the Knowledge Graph. This lets you ask which service lines have the longest average cycle time, which clients consistently require more workflow steps than estimated, or how workflow complexity correlates with realization rate.

Is DataBlueprint secure enough for CPA client data?

DataBlueprint connects read-only and does not store client financial records in a separate database. The private LLM powered by AWS Bedrock processes queries within a secure environment. No client data is sent to third-party AI services. Access controls restrict queries to authorized firm users, and no data is written back to any connected source system.

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