AI-only consulting focus
Enterprise AI Consulting
OneSpec helps enterprises operationalize AI with precision.
We are a specialized AI consulting company. No generic digital transformation. No broad IT agency work. Only production-grade AI systems that improve business performance.
Enterprise Build Snapshot
From pilot to production AI workflows in one delivery motion.
- Cross-platform model architecture (OpenAI, Claude, Azure, AWS)
- Integrated data + workflow orchestration
- Governance and QA gates before full rollout
First delivery sprint
2-4 weeks
Typical process acceleration
20-45%
Supported enterprise stack
Multi-cloud
AI Platform Ecosystem
Built across the enterprise AI stack your teams already trust.
OpenAI
Microsoft
Azure
Claude
AWS
What We Specialize In
AI consulting engineered for enterprise operations and scale.
Enterprise AI Strategy
Define where AI creates measurable margin improvement, which workflows to prioritize, and what to postpone.
Internal AI Assistants
Build role-specific copilots for operations, support, sales, and analytics teams with controlled behavior.
Agentic Workflow Systems
Automate cross-system workflows using AI agents and deterministic fallbacks for reliability at scale.
Model + Cloud Architecture
Design the right model and infrastructure mix across OpenAI, Azure, Claude, Google, and AWS.
Knowledge and Data Layers
Create retrieval-ready data pipelines so assistants answer from your real documentation, not generic guesses.
Evaluation and Guardrails
Implement QA harnesses, risk controls, and traceability so AI outputs meet enterprise quality expectations.
Enterprise Use Cases
Practical AI applications for real operational leverage.
AI Service Desk
Resolve repetitive internal requests with policy-aware assistants and escalations to human owners when needed.
Revenue Operations AI
Automate qualification, follow-up drafting, and account research workflows to improve pipeline velocity.
Knowledge Intelligence
Turn enterprise docs, wikis, and playbooks into searchable AI interfaces for faster decision cycles.
Compliance-Forward Automation
Embed governance controls and approval flows so AI assists without compromising auditability.
Delivery Model
Structured engagements that de-risk enterprise AI adoption.
Discovery and Prioritization
Map operational bottlenecks, define measurable KPIs, and select the highest-value AI opportunities.
Week 1
Prototype and Validation
Ship a controlled pilot with real data, evaluation criteria, and clear adoption checkpoints.
Weeks 2-3
Production Integration
Integrate with identity, data systems, and business workflows while enforcing reliability standards.
Weeks 3-6
Optimization and Scale
Expand to adjacent teams, tune behavior using usage telemetry, and scale governance frameworks.
Ongoing
Enterprise Assurance
Governance, controls, and quality built in by default.
Every implementation is designed with security, traceability, and operational reliability in mind from day one.
Clear prompt, model, and output versioning for traceability
Role-based access and scoped data boundaries
Fallback logic for critical paths and high-risk tasks
Human approval checkpoints for sensitive workflows
Evaluation suites before production rollout
Executive reporting with outcome-driven KPIs
Work With OneSpec
Ready for enterprise-grade AI execution?
Send us your top operational challenge and we will propose a clear AI implementation path with scope, architecture direction, and delivery phases.