01 · AI · Marquee practice
01 · AI consulting & build
AI that earns its place in your business.
From the owner asking where AI genuinely helps, to the platform team putting agents into production — strategy, enablement, build, and operation, sized to the value at stake. Some of our best advice is what not to build.
01a · Business consulting
- AI readiness assessment
- A short, fixed-scope look at your business: which workflows are worth automating, which to leave alone, and what it would cost. Vendor-neutral, in plain language. No cloud migration required — sometimes the answer is an off-the-shelf tool, and we'll say so.
- Use-case strategy
- Three to five specific use cases ranked by value and risk — not a transformation deck. A roadmap your team can execute with or without us.
- Team enablement & AI policy
- Training your people on the tools they already touch, and a usage policy that protects your data and your clients. The gap is rarely the technology — it's confidence.
- Data readiness
- What your data can support today, what it can't yet, and the shortest path between the two. Collection, quality, and governance fixes scoped to the use cases that matter.
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01b · Engineering
- Agentic systems
- Multi-tool agents with grounded retrieval, tool-use loops, and explicit failure modes. We design the recovery path before the happy path. Audit trails on every action.
- Retrieval-augmented generation
- RAG that holds up under adversarial queries. Hybrid retrieval, freshness controls, reranking, and evaluation harnesses that compare against your real workload — not a benchmark.
- Model deployment
- Vertex AI, Gemini API, and self-hosted endpoints — chosen for fit, not loyalty. Cost, latency, and routing engineered against actual traffic shapes.
- Evaluation and observability
- We start at the eval loop — where most teams stop. Continuous offline + online evals tied to deployment gates. Latency, accuracy, refusal, and grounding observed on the same dashboard as the rest of the platform.
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01c · Engagement shapes
- Readiness
- Two to three weeks, fixed scope. You leave with the assessment and the ranked use cases; no obligation to build anything.
- Enable
- Team training, AI usage policy, and data groundwork — for organizations that want their people fluent before their stack changes.
- Pilot and build
- A governed pilot with explicit go/no-go gates, then full agent or RAG delivery. Eval design and baseline measurement set the bar before anything ships.
- Operate
- EverForge takes the on-call rotation. SLOs on the eval metrics, not just uptime.
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99 · Begin