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Secure · Composable · Auditable 

Applied AI 
& Intelligence 

Ship working intelligence into your workflows in weeks and scale to production. Guaranteed.

Proven Value 

We make sure the 
future works for you. 

Case Studies

2x Faster Delivery 

Outcomes Engineered for Impact 

Observed results across clients include shipping inefficiency reductions (~25%), portfolio optimization at enterprise scale (multi‑billion), and valuation growth for AI‑native platforms. Your outcomes depend on scope and context; we model KPIs up front in the Strategy Sprint.

1

Time‑to‑value:

2–4 week pilots that put intelligence in front of users fast.

2

Measurable ROI

Cycle‑time reductions, cost savings, throughput gains, decision velocity.

3

Adoption first

Human‑centered interfaces and workflow fit (no shelf‑ware)

4

Risk down

Clear success criteria, governance by design, security from day one.

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AI strategy, data platform modernization, or systems 
integration. Send us your queries. 
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Customized Fit 

From Framework to Function 


Exception & 
Insight Surfaces 

Real‑time exception detection, anomaly alerts, and guided resolution in ops contexts (e.g., shipping, field, plant, support).

Retrieval & 
Knowledge 

Secure, governed retrieval (RAG) over documents, telemetry, and transactional data with policy‑as‑data controls.

Agentic 
Workflows 

Task‑bounded AI agents that prepare drafts, reconcile records, trigger tickets, or orchestrate steps under human oversight.

Forecasting & 
Planning Overlays 

Demand/supply, risk, and maintenance forecasts that plug into your planning cadence.

See our Work.

Pilot‑first Approach 

How we go from idea  impact 
01

Strategy Sprint (free for qualified teams) 

Rapid discovery + KPI model + pilot scope + 30/60‑day rollout plan. 
02

Design the job‑to‑be‑done (Week 1) 

User interviews, workflow mapping, acceptance criteria. Security & governance requirements documented. 
03

Data readiness & guardrails (Week 1–2) 

Identify sources (ERP/PLM/MES/CRM/Docs/Telemetry), access patterns, role permissions, PHI/PII handling, audit trails, red‑team risks. 
04

Prototype the intelligence (Week 2–3) 

Put a working interface in users’ hands. Closed‑loop evaluation (quality, latency, cost), feedback cycles. 
05

Prove value (Week 3–4) 

Run against real cases. Compare to baseline. Capture KPI deltas and adoption signals. 
06

Scale & integrate (12 Weeks) 

Harden architecture, production pipelines, monitoring, and change management. Stage rollout by function in 12 week instead of regular 24 weeks. 

Technical Approach 

How we deliver superior results with speed and governance.

Model 
Strategy 

Multi‑model orchestration (LLMs, small task models), where needed. Avoid lock‑in; benchmark by job.

Retrieval & 
Data 

Vector + structured retrieval, hybrid search; policy‑as‑data for redaction and entitlements.

Agents & 
Tools 

Constrained tools (SQL, APIs, planners) with guardrails; human‑in‑the‑loop for critical actions.

Evaluation & 
Observability 

Golden sets, inline feedback, cost/latency/quality dashboards, prompt and model drift alerts.

Pilot acceptance 
criteria 

  • SLA: p95 latency ≤ 2s for top flows
  • Quality: ≥ 90% “useful” rating from target users on assisted tasks
  • Cost: ≤ $X per assisted task
  • Security: logs, lineage, and role scopes verified
  • Business: ≥ 10% cycle‑time reduction on target process (4‑week window)


Frequently 
Asked 
Questions