Each use case encodes the knowledge of domain experts into AI systems that run inside your own infrastructure — designed, integrated and delivered by CoSolve.
Showing 13 use cases
Agentic hospital revenue flows, running entirely within customer-controlled infrastructure to protect sensitive patient data.
1,000+ hours of manual expert work removed every month, encoded in 6 weeks.
Expert-led, evidence-backed screening workflows encoded by physicians, with clinical decisions retained by physicians.
Potential to automate pre-screening for about two-thirds of routine cases in a category.
Patient intake, surgical readiness, eligibility checks, case validation and administrative workflows.
Faster patient processing, less administrative burden, more clinical capacity for care.
Processing citizen applications, business licensing, permits and regulatory approvals.
Faster approvals, consistent rule enforcement, smaller backlogs and complete data sovereignty.
RFQ evaluation, technical compliance checks, vendor documentation and procurement workflows.
Shorter procurement cycles, traceable decisions and secure processing in controlled environments.
Encoding engineering expertise to interpret equipment anomalies, diagnose faults and coordinate corrective actions.
Less equipment downtime, faster incident resolution and expertise that scales.
Key4KB answers questions from an organisation's own records, running on its own server, with scanned files searchable by meaning across languages and scripts.
Every answer quotes the source document and shows the page, checked word for word.
Key4MB operates apps and screens the way a person does, for phone makers, carriers, retailers, enterprises and chipmakers.
Zero tokens, zero cloud, and no data leaving the device — with every step shown.
Key4EDU knows the learner, teaches by asking questions and shows the teacher the whole class.
Tutor explanations run on the Key4 model, so they are checked rather than trusted.
An agentic layer on a merchant's existing stack reads catalogue, inventory and shopper behaviour, then decides what each visitor sees — recommendations, ranked search, bundles and messaging — within merchant-set rules.
Higher conversion and order value from one-to-one experiences, tested against a control group — with no overhaul of checkout, order or inventory systems.
Officers write a procedure in plain English and the agent runs it on each tip: checks image origin, detects regional-language audio, traces suspect IPs to location and ISP, drafts ISP requests and files the report.
Hours of manual work per tip become one run — officers review the evidence and make every decision.
Extraction, denial classification, summarisation, appeal drafting and policy Q&A over member records that can never leave the insurer's private cloud.
Five workflows served by one fine-tuned model the client owns, with zero tokens leaving the private cloud.
Risk officers write rules in plain language; the agent finds the source evidence for each item, marks it pass, fail or missing, and routes exceptions to a person.
From about 35 minutes to under 30 seconds per file — 10x intake with no added review headcount.
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