Results & Case Studies

Outcomes That Speak for Themselves

Representative outcomes we've seen across industries. Different teams, different challenges — same pattern: AI-augmented operations outperform manual ones every time.

85%

Average reduction in manual reporting time

5

Industries with measurable AI outcomes

3-5x

ROI within first year of engagement

Healthcare

85%

Less manual reporting

Multi-facility system
Healthcare

Healthcare System Reduces Manual Reporting by 85%

Challenge

A regional healthcare system was drowning in manual data compilation. Clinical staff spent 15+ hours per week on reporting instead of patient care. Multiple attempts at automation had stalled in pilot phases.

Solution

Deployed agentic workflows that automatically aggregate data across EHR systems, generate compliance reports, and flag anomalies for human review. Trained staff to manage and extend the system independently.

Key Results

85% reduction in manual reporting time
Clinical staff reclaimed 12+ hours per week
Zero compliance misses since deployment
Staff trained to maintain and extend the system
Agentic WorkflowsHealthcareProcess Automation
Manufacturing

40%

Forecast error reduction

SAP IBP integration
Manufacturing

Manufacturer Cuts Demand Forecasting Error by 40%

Challenge

A mid-size manufacturer was relying on spreadsheet-based demand planning. Forecast accuracy hovered around 55%, causing chronic overstock on slow-movers and stockouts on key products.

Solution

Implemented AI-augmented demand forecasting integrated with their existing SAP IBP instance. Combined ML predictions with planner expertise through a Human+AI decision interface that respects institutional knowledge.

Key Results

Forecast accuracy improved from 55% to 78%
40% reduction in forecast error
Inventory carrying costs down 22%
Planners now focus on exception management
AI EnablementSupply ChainSAP IBP
Financial Services

70%

Tasks automated

4 departments unified
Financial Services

Fintech Automates 70% of Client Onboarding Tasks

Challenge

A growing fintech firm's client onboarding process required 23 manual touchpoints across 4 departments. Average onboarding time was 14 business days, causing client drop-off and compliance risk.

Solution

Designed and deployed agentic workflows that handle document verification, data extraction, compliance checks, and system provisioning. Human reviewers focus on exceptions and relationship building.

Key Results

70% of onboarding tasks fully automated
Onboarding time reduced from 14 days to 3 days
Client drop-off during onboarding decreased 60%
Compliance accuracy improved to 99.2%
Agentic WorkflowsFinancial ServicesCompliance
Technology

108%

Net revenue retention

80+ accounts per CSM
Technology

SaaS Company Deploys AI Copilot for Customer Success

Challenge

A B2B SaaS company's customer success team was stretched thin. CSMs managed 80+ accounts each, relying on gut feel rather than data to prioritize renewals and identify churn risk.

Solution

Built an AI copilot that synthesizes usage data, support tickets, and engagement signals to surface actionable intelligence. CSMs get daily prioritized briefings with recommended actions and talking points.

Key Results

Net revenue retention improved from 95% to 108%
Churn predicted 30 days earlier on average
CSM productivity up 35% (more accounts, same team)
Customer health scores now data-driven, not anecdotal
AI EnablementTechnologyCustomer Success
Government

90%

Faster knowledge retrieval

15 years of documents indexed
Government

Federal Agency Modernizes Knowledge Management

Challenge

A federal agency's institutional knowledge was trapped in 15 years of scattered documents, SharePoint sites, and departing employees' heads. New staff took 6+ months to become effective.

Solution

Deployed an AI-powered knowledge system that indexes institutional documents, creates searchable intelligence from unstructured data, and surfaces relevant context for decision-makers in real time.

Key Results

New employee ramp-up time reduced from 6 months to 6 weeks
Knowledge retrieval time cut by 90%
Cross-department collaboration increased measurably
System adopted by 94% of staff within first quarter
AI EnablementGovernmentKnowledge Management

How We Work

How Every Engagement Works

Timelines vary by scope and complexity, but the approach is consistent: understand your world first, then ship systems that stick.

01

Assessment

We map your workflows, talk to your people, and identify where AI creates the biggest lift — not where it sounds impressive.

02

Design

We architect Human+AI workflows that integrate with your existing systems and team dynamics. No rip-and-replace.

03

Deploy

We build and ship production-ready systems your team actually uses. Scoped to the problem, not padded to fill a timeline.

04

Transfer

We train your team to own, extend, and improve the system independently. When we leave, the capability stays.

Ready to See Similar Results?

Every engagement starts with a free 30-minute assessment where we identify your highest-impact AI opportunities. No pitch decks. Just a straightforward conversation about where AI can amplify your team.