Real problems, modern platforms, measurable outcomes.

A B2B SaaS vendor’s support team was overwhelmed by product and data queries from enterprise customers. Response times stretched to days, and answers depended on scarce senior engineers.

A LangGraph-based multi-agent system grounded in the vendor’s SaaS data, docs and ticket history. Specialist agents for triage, data lookup and resolution drafting, with human-in-the-loop escalation and a full evaluation harness before rollout.

A Series B startup had promising agent prototypes but no reliable way to measure quality, control costs, or decide which orchestration patterns to standardise on.

Advisory engagement covering agent orchestration architecture, evaluation framework design (golden datasets, LLM-as-judge with human calibration), cost-per-task benchmarking, and a production readiness playbook for their engineering team.

A US mid-market PE fund had 11 portcos on 6 ERPs and 4 BI tools. Board packs took 3 weeks and were frequently restated.

One Snowflake account per portco with a central fund account using secure data sharing. Fivetran connectors, a shared dbt KPI layer, and Power BI board-pack template.

Multi-plant industrial group needed near-real-time visibility of production, inventory and finance data from SAP ECC without adding ERP load.

CDC from SAP into Snowflake via Snowpipe Streaming. Curated business objects in dbt. Snowflake Cortex natural-language interface for plant managers.

Concurrency limits and unpredictable cost on Redshift were blocking data science and analytics roadmap.

Automated SQL conversion, parallel-run validation harness, dbt refactor of 300+ legacy models, Airflow orchestration, and a FinOps guardrail programme.