Use cases
The enterprise AI portfolio, sorted by what it changes.
Every entry states the problem, the design we use, the architecture behind it, the return we have seen, how long it takes, and what security will want to know.
Customer Service AI
Contact volume grows faster than headcount, and quality varies by agent and channel.
10–14 weeks to production$14–38M annual cost-to-serve reduction at Fortune 500 volumeSales Copilots
Sellers spend more time assembling context than selling.
8–12 weeks to production6–11% pipeline conversion improvementExecutive AI Assistants
Leadership decisions wait on manual synthesis across dozens of systems.
6–10 weeks to productionHundreds of executive hours returned per quarterLegal AI
Contract review and research consume senior legal capacity.
10–16 weeks to production35–50% reduction in review hoursFinance AI
Close, forecasting and variance analysis remain manual and late.
12–18 weeks to production3–5 days off the close cycleAccounting AI
Transaction coding and exception handling scale linearly with volume.
10–14 weeks to production40–60% touchless processingProcurement AI
Spend is fragmented and contract terms are invisible at the point of purchase.
12–16 weeks to production3–7% addressable spend reductionCybersecurity AI
Security teams face more signal than analyst capacity.
8–12 weeks to production30–45% analyst capacity reclaimedThreat Intelligence
Intelligence arrives faster than it can be contextualized.
8–12 weeks to production5× intelligence coverage per analystSOC Automation
Repetitive investigation steps dominate tier-1 work.
12–18 weeks to production50%+ reduction in mean time to triageCompliance Automation
Evidence collection and control testing are manual and recurring.
12–16 weeks to production40% reduction in audit preparation effortKnowledge Management
Institutional knowledge is spread across systems nobody searches.
8–12 weeks to production2–4 hours per employee per weekCall Center AI
Handle time and after-call work dominate operating cost.
10–14 weeks to production20–35% handle-time reductionMarketing AI
Content demand outpaces production capacity while brand risk rises.
6–10 weeks to production40–60% content production cost reductionDocument Intelligence
Critical decisions depend on documents no system can read.
10–14 weeks to production60–85% touchless document handlingHR AI
Employee questions and case handling consume HR service capacity.
8–12 weeks to production45% HR ticket deflectionAI Agents
Multi-step work still requires humans to move data between systems.
14–20 weeks to productionProcess cycle times cut by half or moreAI Search
Enterprise search fails the people who most need answers.
8–12 weeks to production70% first-query answer rateInternal ChatGPT
Employees use unsanctioned AI tools and leak data doing it.
4–8 weeks to productionShadow AI usage eliminated in one quarterRAG
Models answer confidently from the wrong context.
8–12 weeks to productionAnswer accuracy raised above agreed thresholdsAI Governance
Nobody can answer which AI systems exist and who approved them.
10–14 weeks to productionRegulator-ready posture in one quarterAI Vendor Management
Vendor AI claims are unverifiable and contracts lag the technology.
6–10 weeks to productionVendor risk exposure materially reducedBoard Reporting
Boards ask for AI status and receive anecdotes.
4–6 weeks to productionBoard-grade transparency established
Next step
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