company / case studies
Outcomes, not slideware.
Most of our work ships under NDA, so the numbers below are anonymized, composite results drawn from real production deployments — not pilots, not projections. The mechanics are real even when the logos are masked. We're happy to give a detailed walk-through under NDA on request.
selected_outcomes
What "production" looks like.
financial serviceslive
−61% cost per lead
A mid-market lender was paying a premium for low-intent inbound. We rebuilt qualification as an AI workflow that scores, routes, and enriches every lead before a human ever touches it.
- Intent-scoring model over CRM + behavioral signals
- Automated enrichment and routing pipeline
- Human-in-the-loop review for edge cases
insuranceops
3,408 ops hours saved / yr
A claims operation drowning in document intake. We deployed an extraction and triage system that reads, classifies, and pre-fills the cases adjusters used to assemble by hand.
- Document parsing and structured extraction
- Auto-classification and priority triage
- Exception queue with full audit trail
b2b servicesgrowth
+218% lead conversion
A professional-services firm with a strong pipeline and a leaky funnel. We instrumented the journey and added an AI agent that follows up, books, and nurtures at machine speed.
- Conversational follow-up and scheduling agent
- Pipeline instrumentation and attribution
- Personalized nurture sequences from first-party data
healthcaredelivery
12-week time to production
A regulated provider that had stalled for over a year on internal AI attempts. We scoped tightly, shipped a compliant knowledge system, and had it in clinicians' hands inside a quarter.
- RAG search over policy and clinical documentation
- Source-cited responses with access controls
- Audit logging built in from day one
manufacturingautomation
47% workflow cost reduction
A back-office process spanning four disconnected systems and a lot of copy-paste. We replaced the manual hand-offs with an orchestrated agent workflow and kept humans on the decisions that matter.
- Cross-system orchestration and data sync
- Agentic task automation with guardrails
- Live dashboards for throughput and cost
legallive
12-second first response
An intake team where every inbound waited hours for a first reply. We deployed a front-line AI responder that answers instantly, gathers context, and hands warm matters to the right human.
- Instant first-response intake agent
- Structured context capture before hand-off
- Escalation routing with confidence thresholds
Want the detailed version?
The numbers above are deliberately anonymized. Under NDA, we'll walk you through the full architecture, the before-and-after metrics, and exactly how we'd apply the same playbook to your business.
faq
Common questions.
Can you share detailed results and references?
Public case studies are anonymized to protect client confidentiality. In a briefing, and under NDA, we can walk through detailed metrics and provide references relevant to your industry.
What outcomes do you measure?
We track concrete operational metrics — expert hours saved, conversion lift, cost per unit, cycle time, and first-response time — measured against a pre-deployment baseline and audited over the following months.
How long before we see results?
Our standard engagement is a twelve-week build to production. Impact is tracked from the first live deployment, with ROI measured on real users and real load.
Experienced within
markets_served
Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: