AI consulting and implementation case studies

Problem: A multi-location service company relied on manual triage and follow-ups, creating slow response times and inconsistent execution.

Solution: TARIY implemented an AI workflow orchestration layer connected to CRM, ticketing, and team chat. The system triaged requests, drafted responses, and routed work based on business rules.

Technology used: LLM orchestration, retrieval pipeline, workflow engine integrations, analytics dashboarding.

Business impact: 34% faster request-to-resolution time, 22% less manual routing work, improved SLA consistency.

Problem: An operations team managed SOP questions and exceptions through ad hoc communication, causing delays and policy inconsistency.

Solution: We built an internal AI knowledge assistant with controlled retrieval, policy-aware responses, and escalation routing to process owners.

Technology used: Vector retrieval, access control layers, internal tool integration, monitoring and feedback loop.

Business impact: 60% reduction in repetitive policy questions and faster onboarding for new operators.

Problem: A B2B software firm wanted to launch an AI feature but lacked product architecture and evaluation systems for production quality.

Solution: TARIY scoped the AI feature strategy, built the first production architecture, created evaluation benchmarks, and supported launch.

Technology used: Model routing, prompt orchestration, evaluation harness, product analytics instrumentation.

Business impact: AI feature launched in one quarter with measurable user adoption and improved retention in target segments.

Problem: Leadership needed a unified AI roadmap across operations and product but teams had conflicting priorities and tool choices.

Solution: We delivered an AI consulting blueprint with phased priorities, governance model, and implementation backlog aligned to ROI.

Technology used: Process mapping, architecture planning, implementation roadmap tooling, KPI model.

Business impact: Clear 12-month AI roadmap and immediate execution on two high-impact automation initiatives.