HomeExpertiseEnterprise Intelligence
AI & Automation

Enterprise Intelligence

We build production-grade AI systems that integrate directly with your business logic — from autonomous support agents to internal copilots, document intelligence pipelines, and forecasting engines. Every model we ship comes with evaluation harnesses, observability, and a clear cost-per-call story so the business knows exactly what it owns.

Outcome Snapshot
Avg. Cost Reduction40%
Throughput Uplift10×
Median Latency<2s
What We Do

Capabilities under this practice

Domain-tuned LLM Agents

Multi-step agents grounded in your data with tool use, retries, and full audit trails.

Retrieval-Augmented Generation

Hybrid semantic + keyword retrieval pipelines tuned for precision on enterprise corpora.

Workflow Automation

Replace repetitive cognitive tasks — triage, classification, summarisation — at fleet scale.

Eval & Observability

Golden datasets, regression suites, and per-trace cost & latency dashboards.

How We Engage

A clear three-phase rhythm

01
1–2 weeks

Diagnose

Identify the highest-leverage workflows and define success metrics.

  • Opportunity map
  • Baseline metrics
  • ROI model
02
2–3 weeks

Prototype

Ship a working vertical slice against real data with stakeholders in the loop.

  • Functional MVP
  • Eval harness
  • Cost projection
03
4–8 weeks

Productionize

Harden, secure, and scale into your stack with monitoring and human-in-the-loop.

  • Production deploy
  • Runbooks
  • Team enablement
Tooling We Lean On

The stack behind the work

OpenAI / AnthropicCustom LLMsVector DBs (Pinecone, pgvector)LangGraph / Agentic WorkflowsPython · TypeScript
Outcomes Clients Talk About

What changes after we ship

  • Replace 60–80% of manual triage with auditable agents.
  • Cut analyst time-to-insight from hours to minutes.
  • Standardize quality across distributed teams.
Ideal Engagement Profile

You'll get the most out of this if

  • Operations teams drowning in repetitive cognitive work
  • Support orgs wanting first-line automation with escalation safety
  • Analytics teams needing AI copilots over proprietary data
Common Questions

Answered before you ask

Do you train custom models or use foundation models?

Both — we start with frontier models for speed, and fine-tune or distill where unit economics or latency demand it.

How do you keep our data private?

We deploy in your VPC where required, support BYO-key encryption, and never train on your data without explicit contract.

Continue Exploring

Other practice areas

Studio open · accepting Q3 engagements

Let's build
something inevitable.

Tell us what you're building. We reply to every credible brief within one business day with a path forward — and an honest read on whether we're the right fit.