Murdock & Associates Boosts Operating Margin by 8%

Using AI-Powered Accounting Automation

Company Brief

Murdock & Associates, a mid-sized accounting firm serving 120 SME clients across manufacturing, retail, and professional services. The firm operates with 40 accounting professionals and handles a monthly volume of transactional activity that includes supplier and client invoices, bank reconciliations, payroll support, and statutory filings.

The firm sought to modernize its legacy systems through AI/ML development and secure cloud services integration enabling scalable automation while maintaining compliance and data accuracy through enterprise grade product engineering.

Overview

This case defines about a targeted automation program designed to reduce manual effort; speed month end close, improve accuracy, and free capacity for advisory work. It uses a client rooted approach that maps observable pain points to product and process interventions and then tracks the operational impact over a 12 month horizon.

  • Sector: Accounting, Finance, and Corporate Administration Solutions
  • Project Type: AI-Powered Invoice and Purchase Order Management
  • Platform: React, .NET, SQL, Document Intelligence, and Secure Cloud Storage

Root Cause Analysis: Why the Current Systems Fail Murdock & Associates

  • Communication fragmentation – multiple channels (email, chat, portals) create document loss and duplicate work.
  • Poor data quality on scanned documents – inconsistent layouts and low-quality scans defeat basic OCR.
  • Weak vendor identity resolution – multiple variants of vendor names cause matching failures.
  • Approval friction – approvals are manual, inconsistent, and often delayed.
  • Lack of client transparency – clients cannot track invoice status, increasing support load.
  • Reactive exception handling – alerts lack context and arrive late, creating long investigations.

These root causes were validated by tracing exceptions and interviewing staff and clients during discovery.

Solution

  • One ingestion gate with conversation captures – A unified ingestion portal plus connectors for email and chat brings every document into a single case record, tagged with origin and timestamp to reduce loss and simplify dispute timelines.
  • Layout aware IDP trained on Murdock invoices – An IDP model trained on the firm’s invoice corpus extracts header and line item data with confidence scores; low-confidence fields are surfaced for quick review to minimize full re-entry.
  • Fuzzy vendor resolution & golden-record creation – A vendor master with fuzzy matching and a lightweight merge UI resolves identity variants and preserves source audit, improving matching and payment accuracy.
  • Smart matching + rule based exceptions – Automated matching (PO Invoice GRN) combined with configurable rules routes valid invoices for posting and creates contextual exception cards for deviations, including suggested remediation steps.
  • Native approval workflows & mobile approvals – Threshold based approval flows with delegation and mobile one clicks approvals reduce bottlenecks and shorten approval lead times.
  • Client & vendor portals with dispute threads – Simple portals provide visibility into invoice status and allow clients/vendors to upload supporting documents directly into the exception workflow, cutting phone based queries.
  • Continuous retraining & KPI feedback loop – Weekly retraining pipelines use human reviewed exceptions to improve IDP accuracy over time; operational KPIs feed prioritization for model improvement.

Measured Impact - Operational Outcomes (How Each Feature Contributed)

  • STP increase (8% → 85%) – driven by improved ingestion, IDP accuracy, and smarter matching, which reduced manual touchpoints.
  • Exception rate reduction (12% → 2%) – achieved through vendor master and portals that addressed identity mismatches and improved supporting document capture.
  • Time to close (7 → 2 days) – reduced by faster approvals, nightly batch postings, and smaller exception queues; this enabled earlier delivery of client reporting and advisory.
  • Capacity freed (2,700 hrs/month) – that time was redeployed toward advisory and client service, increasing the firm’s ability to generate higher value work.
  • Advisory uplift – reallocated hours translated into a measurable increase in billable advisory hours sold through focused offerings and client outreach.

The business intelligence dashboards and data visualization services provided transparent tracking of every KPIs ensuring ongoing visibility into performance improvements and ROI realization.

Conclusion

By embedding AI into every step of purchase order, invoicing, and audit preparation, Murdock & Associates reduced processing time by over 80 percent and boosted operating margin from 18 percent to 26 percent in a single fiscal year.

Through strategic use of Azure consulting services, product development, and intelligent workflow automation, the firm built a secure, adaptive accounting ecosystem that continuously learns, optimizes, and delivers measurable business outcomes.

Client Says

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