For businesses and families in Bryan–College Station, accounting often expands far beyond filing a return once a year. Thompson, Derrig & Craig, P.C. presents itself as a full-service local CPA firm built around relationships, with services spanning routine accounting work through advisory, valuation, assurance and tax planning.
A full-service College Station accounting firm
Thompson, Derrig & Craig, P.C. describes its firm as local, experienced, service-oriented and relationship-centric. Its published services include accounting and bookkeeping, business advisory and valuations, audit and assurance, and tax preparation and planning. The firm specifically notes that its accounting work can range from helping an entrepreneur establish a chart of accounts to outsourced accounting and controller/CFO consulting for growing businesses. Its College Station office also provides a secure ShareFile upload option for clients. Businesses and individuals can visit TDC’s website for current service descriptions, team information, new-client requirements and contact details.
Accounting AI works best around the system of record
Accounting firms handle email, source documents, workpapers, client requests, meeting notes and deadlines, but the general ledger, tax software and approved workpapers must remain authoritative. AI is most useful as a preparation and retrieval layer around those systems.
For a firm like TDC, one opportunity is client-document intake. The assistant can compare received files with an engagement-specific checklist and draft a missing-items list. Another is meeting preparation: it can assemble a source-linked brief from prior correspondence, open tasks and approved notes. A third is internal knowledge retrieval for firm procedures, software instructions, recurring deadlines and onboarding material.
Business-advisory work creates another controlled use case. AI can organize historical data, management questions and meeting notes into a discussion brief, but professionals should validate every figure and decide what the information means. The purpose is to reduce clerical assembly, not outsource accounting judgment.
Example workflow: month-end client document readiness
Suppose an outsourced accounting client uploads bank statements, payroll reports, loan documents and other supporting files. The workflow begins by reading file names and permitted document content, then classifying each item against a checklist maintained by the accounting team. It flags duplicates, identifies apparently missing categories and creates a source-linked status table.
Next, AI drafts a short client request listing only the missing items supported by that checklist. An accountant or bookkeeper reviews both the source table and the draft before anything is sent. Once approved, the request can be delivered through the firm’s normal communication channel and the task status updated.
The AI does not post transactions, change account classifications, reconcile balances, choose tax treatment or certify that the books are complete. Those steps stay in the accounting workflow under professional review. For TDC’s type of practice, the value is a cleaner handoff into the work accountants already perform.
Security requirements come before convenience
Tax and accounting firms hold unusually sensitive client information. The IRS states that tax professionals must maintain safeguards and a written information security plan. Its June 2026 guidance on Written Information Security Plans stresses employee management, information systems, risk assessment and vendor safeguards. The IRS also maintains a Taxes-Security-Together checklist covering core cybersecurity practices.
That means a CPA firm should not paste client records into an unapproved consumer tool because it is convenient. Before any connection, the firm needs to review licensing, contractual data terms, retention, access control, encryption, audit capabilities and the specific information permitted in the workflow.
Tool choice should follow the firm’s environment
A Microsoft-centered firm might use Copilot, Copilot Studio and Power Automate. A Google Workspace firm might use Gemini and Apps Script. Another firm may prefer ChatGPT Business, Claude or an API-driven workflow orchestrated through Zapier, Make or n8n. The right choice depends on the systems already used, the sensitivity of the data and the controls administrators can enforce.
Before choosing a model, the firm should organize its procedures and establish ownership for source material. AskMaisy’s accounting and CPA knowledge-management page describes how trusted internal information can become a more reliable foundation for assistants and workflow automation.
What remains professional work
Tax positions, journal entries, account classification, reconciliations, valuation conclusions, audit judgments, assurance opinions, financial representations and client advice remain human responsibilities. AI output should be treated as a draft or analytical aid until a qualified person validates it against authoritative records.
This boundary is particularly important for a firm like TDC because its services span multiple levels of responsibility. A bookkeeping checklist and an audit conclusion are not the same risk class, so they should not receive the same automation authority.
A controlled pilot for a local CPA firm
Maisy’s Understand, Organize, Empower approach fits accounting well: understand one recurring process, organize the governing information, then give staff a tool with limited, testable authority. A first pilot might use sanitized documents to test missing-item detection or use public/internal procedures for a staff knowledge assistant. The aim is practical AI implementation in the Brazos Valley without replacing the accounting systems or professional judgment the firm already depends on.
