APPLIED AI — FLAGSHIP

AI that earns its keep — applied where it actually helps.

The wins aren't moonshots or chatbots bolted onto a homepage. They're document Q&A that answers in seconds instead of an hour, triage that lands the right ticket on the right desk, and copilots that know your business — with guardrails, evals, and the automations behind them to make the answer actionable.

Person reviewing an LLM assistant on a laptop with a knowledge base on a second monitor
FIG · APPLIED AI

PRACTICE · 06 CAPABILITIES

  • 01

    Document Q&A and search

    Turn contracts, SOPs, and knowledge bases into something your team can actually ask questions of — with citations back to the source, not hallucinated paraphrases.

  • 02

    Summarization and triage

    LLMs that read tickets, emails, transcripts, and long threads — then route, tag, and summarize them into the human's queue with the context already attached.

  • 03

    Internal copilots

    Purpose-built assistants for sales, support, ops, or finance — wired into your real systems, scoped to what each role needs, and aware of your data.

  • 04

    Evaluations and guardrails

    Every model output gets measured: golden datasets, regression evals, refusal rules, and PII filters. We ship AI you can defend in a room of skeptics.

  • 05

    Retrieval and data plumbing

    RAG pipelines, embeddings, and the boring sync work behind them — because an AI that can't see fresh, correct data is just a confident liar.

  • 06

    Workflow automation behind the AI

    The integrations, webhooks, and middleware that turn an LLM answer into an action — logged, monitored, and reversible when something drifts.

Ready to talk specifics? Bring your stack — we'll bring the questions.

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