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What We Do: Ternao is a security-first consultancy dedicated to helping organizations plan, evaluate, and implement modern AI systems. We work alongside your team to translate abstract potential into operational value — from early discovery to ongoing support.


Financial Signal Extraction: One client needed to identify underappreciated value in SEC filings — signals hidden beneath the surface of typical quant screens. We designed a lightweight summarization and classification system that flagged footnotes, tax positions, and unusual disclosures, delivering point-form insights via daily email. This allowed their analysts to focus effort where it mattered.

On-Brand Generation: A client with strict messaging guidelines needed scalable content across sales, support, and marketing. Rather than start from scratch, we trained lightweight adapters on their internal collateral and product docs — producing responses and assets that aligned with voice, tone, and regulatory guardrails.

Voice Data Reuse: A healthcare customer was sitting on hours of recorded reception calls but lacked a structured audit trail. We helped transcribe, silo, and cross-reference them against appointment records and CRM entries. This not only enhanced traceability, but surfaced gaps in workflow consistency — unlocking internal automation downstream.

Phased AI Rollouts: One client needed to go from POC to department-wide deployment under tight constraints. We worked with IT and leadership to phase adoption, minimize overlap with legacy tools, and create feedback loops that helped inform the next rollout stage. Success metrics were defined collaboratively, avoiding over-engineering and burnout.

Governance by Design: A client in a regulated industry needed to empower internal use of LLMs — without compromising oversight. We helped set up internal policies, prompt libraries, usage tracking, and access tiers. This allowed teams to experiment freely within safe parameters.

Model Strategy & Evaluation: A partner wanted to move beyond default vendor APIs but wasn’t sure how to benchmark or manage a multi-model stack. We helped evaluate open-source options, test hybrid chains, and put monitoring in place — with fallback logic where it mattered.

Team Adoption & Confidence: A global team was handed AI tools but didn’t know how (or whether) to use them. We ran use-case workshops, created tailored documentation, and helped teams shape prompts that matched their goals. Within weeks, they moved from skepticism to routine usage.