Credentials and recent delivery

Microsoft Solutions PartnerAzure AI & Data
  • Shipped multi-agent loan processing system — Financial Services, shipped Mar 2026
  • Shipped clinical documentation copilot — Healthcare, shipped Mar 2026
  • Shipped predictive maintenance platform — Manufacturing, shipped Mar 2026
  • Shipped customer service AI agents — Retail, shipped Feb 2026
  • Shipped HR automation workflow — Enterprise Operations, shipped Feb 2026
Case Studies

Client Case Studies

Real implementations with measurable outcomes, production architecture, and delivery timelines. Client identities are anonymised at customer request.

Delivered Solutions

A selection of enterprise projects showing before/after performance, architecture patterns, and tangible ROI.

Financial ServicesAgentic WorkflowRisk AutomationCompliance

Loan Origination Automation at Scale

Implemented a multi-agent document and risk workflow to accelerate approvals while maintaining regulatory controls.

Timeline

10 weeks

Team Size

7 specialists

The new agent workflow shortened decision cycles without introducing governance risk. We now have full traceability for every approval.

VP of Lending OperationsRegional Financial Institution

Before / After Metrics

Approval Cycle Time

Before5.2 days
After2.1 days
60% faster

Manual Review Effort

Before42 FTE hours / 100 applications
After18 FTE hours / 100 applications
57% reduction

Compliance Exception Rate

Before6.4%
After1.9%
70% lower

Architecture Diagram

Intake Agent
Document Analysis Agent
Risk Scoring Agent
Policy Validation Agent
Decision Orchestrator

ROI Metrics

Annual Cost Savings

$2.1M

Payback Period

5 months

Capacity Increase

+38% applications handled

HealthcareHealthcare AIClinical OpsEHR Integration

Clinical Documentation Copilot

Delivered a clinician-assist workflow that reduces charting burden and improves documentation consistency.

Timeline

12 weeks

Team Size

8 specialists

Clinicians gained meaningful time back every day, and chart quality improved without adding documentation overhead.

Chief Medical Information OfficerMulti-Hospital Health Network

Before / After Metrics

Physician Documentation Time

Before3.4 hrs/day
After1.2 hrs/day
65% reduction

Same-Day Chart Closure

Before48%
After86%
+38 pts

Coding Rework Rate

Before14%
After5%
64% lower

Architecture Diagram

Encounter Capture Agent
Clinical Summary Agent
Coding Validation Agent
Compliance Review Agent
EHR Submission Agent

ROI Metrics

Annual Productivity Value

$3.4M

Time Saved

2.2 hours/clinician/day

Documentation Quality Score

+29%

ManufacturingIndustrial AIIoTOperations

Predictive Maintenance Command Center

Built a predictive maintenance operating model combining telemetry agents, anomaly detection, and service planning.

Timeline

9 weeks

Team Size

6 specialists

Our teams shifted from reactive firefighting to planned intervention. The impact on uptime was immediate and measurable.

Director of Plant OperationsGlobal Industrial Manufacturer

Before / After Metrics

Unplanned Downtime

Before28 hrs/month
After15 hrs/month
46% reduction

Mean Time to Repair

Before9.5 hrs
After5.8 hrs
39% faster

On-Time Service Completion

Before71%
After92%
+21 pts

Architecture Diagram

Telemetry Ingestion Agent
Anomaly Detection Agent
Root-Cause Agent
Maintenance Planner Agent
Operations Dispatch Agent

ROI Metrics

Annual Avoided Downtime Cost

$4.0M

Maintenance Cost Reduction

31%

Payback Period

4.5 months

RetailCustomer ServiceRetail AIMulti-Agent

Omnichannel Service Automation

Designed a multi-agent service platform to unify support journeys across chat, email, and store-assist channels.

Timeline

8 weeks

Team Size

6 specialists

The multi-agent model transformed our service operations and gave customers faster, more consistent support across channels.

VP of Customer ExperienceGlobal Retail Brand

Before / After Metrics

First Response Time

Before11 min
After2.6 min
76% faster

Autonomous Resolution Rate

Before22%
After68%
+46 pts

Customer Satisfaction

Before81%
After94%
+13 pts

Architecture Diagram

Intent Router Agent
Knowledge Agent
Order & Returns Agent
Escalation Agent
Customer Insights Agent

ROI Metrics

Annual Support Cost Savings

$2.8M

Revenue Lift from Retention

+$1.6M

Agent Productivity Gain

44%

Public SectorPublic SectorConstituent ServicesCasework Automation

Constituent Services Automation

Helped a state agency modernize service navigation and caseworker support with citation-backed AI agents.

Timeline

11 weeks

Team Size

7 specialists

The pilot gave staff a clearer view of case history while keeping final determinations with trained program specialists.

Director of Digital ServicesState Agency

Before / After Metrics

Routine Inquiry Deflection

BeforeBaseline call volume
After25-40% modeled reduction
Lower avoidable volume

Case Preparation Time

BeforeManual record review
After30-45% faster packets
Faster staff review

Policy Citation Coverage

BeforeInconsistent references
AfterMost answers cite source policy
More consistent guidance

Architecture Diagram

Intake Agent
Policy Retrieval Agent
Case Summary Agent
Eligibility Review Queue
Records Logging Agent

ROI Metrics

Modeled Annual Capacity Value

$900k-$1.8M

Case Prep Efficiency

30-45% range

Pilot Payback Window

6-9 months modeled

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