Built by Agents.
Supervised by Experts.
We design agentic AI systems around your business—your knowledge, workflows, tools, controls, and desired outcomes. Every system is purpose-built, expertly reviewed, and designed to perform defined operational work.
Domain-specific • Human-supervised • Built around your operations
Domain-Specific
Grounded in your knowledge and operating context.
Human-Supervised
Experts review architecture, delivery, and outcomes.
Complexity-Tiered
Scoped to the system, not an open-ended hourly meter.
Built to Evaluate
Measured against explicit, defined success criteria.
From General AI to Specific Intelligence
General-purpose AI can generate answers. Operational intelligence must understand your environment, follow your controls, use the right tools, and perform work you can evaluate. Specified AI builds around the business context that generic AI is missing.
General AI
- Broad knowledge
- Generic responses
- Disconnected from operations
- Difficult to evaluate
- Limited accountability
Specified Intelligence
- Grounded in your domain
- Connected to approved tools
- Designed around defined workflows
- Human-supervised
- Measured against explicit outcomes
Tiered by Complexity, Not by the Hour
Three ways to build agentic AI into your business
Single Agent Deployment
A focused agent designed to perform one clearly defined role within your business.
- Company knowledge retrieval
- Research and analysis
- Structured document generation
- Approved tool and API use
- Human review and escalation
- Logging and evaluation
Multi-Agent Workflow
A coordinated system of specialized agents that divides work, shares context, and moves a business process from intake to outcome.
- Supervisor and specialist agents
- Multi-step workflow execution
- Tool and system integrations
- State and context management
- Approval checkpoints
- Failure handling and observability
Business Core Intelligence Build
A deeper intelligence layer connecting your organization's knowledge, systems, workflows, agents, and controls.
- Multiple operational workflows
- Shared organizational knowledge
- Agent and model routing
- Permissions and governance
- Internal tools and interfaces
- Evaluation, auditability, and ongoing improvement
Scope and pricing established through the AI Blueprint.
From Business Need to Working Intelligence
- Stage 01
Assessment / Blueprint
We identify the work, knowledge, tools, risks, deployment requirements, and success criteria before prescribing a system.
- Stage 02
Build
We design, implement, integrate, test, and deploy the appropriate Single Agent, Multi-Agent, or Business Core Intelligence system.
- Stage 03
Managed Intelligence
We monitor performance, maintain integrations, update knowledge, evaluate reliability, and improve the system after launch.
How Specific Intelligence Works
One system, from context to outcome
Business Context
Domain knowledge and operating goals
Specialized Agents
Reasoning, planning, and delegation
Knowledge and Tools
Retrieval, memory, and connective infrastructure (e.g. MCP)
Human Controls
Approval checkpoints and escalation
Measurable Outcomes
Evaluation and audit logs
PRIVATE AND LOCAL AI
Your AI. Your Infrastructure. Your Control.
We help organizations determine when AI should run locally, in the cloud, or across both—then design the agentic system around the right balance of privacy, performance, control, and cost.
Explore Local AILocal
Hybrid
Cloud
Why Specified AI
Built Around the Work
We begin with the operational job, not a predetermined model or tool.
Expert-Supervised Delivery
Agents accelerate research, engineering, testing, and documentation while experts provide architecture, review, and validation.
Connected to Your Environment
Systems can work with approved organizational knowledge, APIs, applications, and workflows.
Tiered by Complexity, Not by the Hour
Engagements are structured around the depth of the system being built rather than an open-ended hourly meter.
Engagement Examples
What We Can Build Around
These are illustrative engagement examples, not completed customer case studies.
Internal Knowledge Operations
Agents that retrieve, summarize, and route organizational knowledge for the people who need it.
Research and Decision Support
Systems that gather, structure, and evaluate information ahead of a business decision.
Multi-System Workflow Coordination
Specialist agents that move a process across tools and teams from intake to outcome.
Document and Data Processing
Structured extraction, generation, and review of business documents and records.
Infrastructure and Technical Operations
Agents that support monitoring, deployment, and technical workflows under human review.
Ready to Get Specific?
The AI Blueprint identifies the work, knowledge, tools, and controls your system needs before we prescribe a build.
Start With an AI Blueprint