Efficiency and throughput
Cycle times cut 50–82% across claims, contracts and casework.
Case Studies
Case Studies by Business Impact
Start from the outcome you care about — then see how it was engineered.
- 82%top cycle-time improvement
- 55%top cost-per-unit reduction
- +11top CSAT point gain
Browse
Case studies by business impact
Stories organized by efficiency, cost, revenue and customer experience impact.
Cost reduction
Support, processing and infrastructure costs down 30–55%.
Revenue lift
Availability, pricing and velocity gains that show up in the top line.
Experience and quality
CSAT, adoption and accuracy improvements with hard numbers.
Reading the numbers
How these results were measured
Every figure in our case studies follows the same discipline: baseline first, attribute honestly, report the durable number.
Baselines
Measured before, not remembered after
Each engagement opens by instrumenting the current state — cycle times, costs, quality scores. Improvement claims compare against recorded baselines, not recollections.
- Current-state metrics captured pre-build
- Definitions agreed with finance up front
- Baselines locked before optimization starts
99.9%Uptime
1.2sp95 latency
$0.021Cost / task
QualityCostLatencyDrift
Attribution
Credit taken only where earned
Where volumes shifted or teams changed alongside the AI, we isolate the system's contribution — through holdouts, phased rollouts or explicit adjustment. The numbers survive scrutiny because they were built to.
- Phased rollouts creating natural comparisons
- Confounders documented, not ignored
- Finance-reviewed impact statements
Groundedness
96%
Safety
100%
Task success
93%
Tone & format
91%
CI gate passedrelease promoted to production
Durability
Quarter-two numbers, not demo-day numbers
We report results after novelty fades and volume normalizes — the metric that matters is what the system delivers in steady state, monitored continuously.
- Steady-state reporting after ramp
- Continuous monitoring keeping gains honest
- Programs expanded only on held results
−62%p95 latency
Before
3.4s
After
1.3s
Cost / 1k tasks
$41
Optimized
$14
Jump in
Start with the outcome you need
Cut cycle times
Claims 82% faster; contracts same-day; casework halved.
Reduce cost-to-serve
Support cost per contact down 55%.
Protect revenue
Stockouts down 28%; downtime down 37%.
Lift satisfaction
CSAT +11 on automated support flows.
Free expert capacity
Adjusters, lawyers and clinicians on judgment work.
De-risk operations
Audit trails that passed regulator and oversight review.
Delivery
From challenge to outcome
We publish the architecture decisions, delivery approach and measurable results — so you can see how similar outcomes could apply to your enterprise.
- Measurable KPIs
- Architecture transparency
- Cross-industry patterns
- Repeatable playbooks
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1
Challenge
Business pressure, legacy process and constraints.
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2
Solution
Architecture, agents and integration design.
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3
Delivery
Build, evaluate, secure and launch.
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4
Impact
Efficiency, cost, quality or revenue outcomes.
FAQ
Common questions
Can you guarantee similar numbers for us?
No honest firm can — starting points differ. What we do commit to: measured baselines, agreed targets per phase, and gates that stop spend if results don't materialize.
Who verified these results?
Client finance and operations teams — impact statements are built with them, not marketed at them. References are available under NDA.
What's the typical payback period?
Most engagements recover their cost within two to four quarters; support automation and cost programs are usually fastest.
Next step
Start with your target number
Name the metric you need to move — we'll show you which delivered pattern moves it.