Skip to content
KELTON PARTNERSINTELLIGENCE
Contact

TECHNOLOGY & EXPERTISE

Controlled AI for financial operations.

Specialist knowledge, controlled AI execution and human oversight.

AI HARNESS & EXECUTION

Beyond the model: the operating harness.

A controlled execution environment combines models with specialist instructions, tools, context, permissions, workflow state and validation logic.

Kelton designs the layer around the model so an AI system can work within a defined financial process rather than respond as an unrestricted assistant.

Each workflow is scoped to approved information, permitted actions, expected outputs and explicit review requirements before it is introduced into recurring work.

  • Specialist instructions and reusable skills
  • Approved tools and data sources
  • Role-based permissions and action boundaries
  • Context, memory and workflow state
  • Model routing and structured outputs
  • Sandboxed execution where appropriate
  • Validation logic and controlled releases

HUMAN-IN-THE-LOOP

Automation executes. People decide.

Agentic workflows can complete repeatable steps, validate the result and route exceptions to the right professional without obscuring who remains responsible.

  1. 01

    AI Execute

    Complete the defined repeatable steps within the approved workflow.

  2. 02

    Validate

    Check required data, business rules, confidence and output structure.

  3. 03

    Exception

    Stop and route low-confidence, incomplete or judgement-sensitive items.

  4. 04

    Expert Review

    Apply operating context, challenge the result and resolve exceptions.

  5. 05

    Approval

    Release material outputs through the agreed authority and control path.

Human Review

Review is triggered by exceptions, low confidence, missing information, material changes or required approvals. Execution, review and release can remain assigned to different roles.

GUARDRAILS & EVALS

Defined boundaries before execution. Evidence before release.

Controls define what AI can access and do. Evaluation checks whether a workflow continues to produce the expected result before a change reaches production.

Guardrails & Policy Controls

Establish the permitted operating boundary and the conditions that require the workflow to stop, escalate or request approval.

  • Data and tool permissions
  • Allowed actions and prohibited actions
  • Business rules and confidence thresholds
  • Stop-and-escalate conditions
  • Human approval points

Continuous Evaluation

Test workflows against representative cases, expected outputs and previously reviewed exceptions before controlled promotion.

  • Validated cases and expected outputs
  • Regression evaluation before release
  • Structured-output and completeness checks
  • Expert-reviewed exceptions
  • Controlled promotion and rollback

Integration & Traceability

The objective is a controlled layer across the systems and information that already exist—not replacement for its own sake.

Systems & Sources

Connect administrators, custodians, banks, portfolio systems, databases, spreadsheets, documents and approved repositories.

Secure Connectivity

Use APIs, controlled connectors and emerging standards such as MCP without making the connection method the product story.

Traceability

Link material AI actions to source data, tool calls, workflow steps and validation results.

Evidence & Audit Trail

Retain versions, exceptions, reviewer input and approval history so the operating record remains visible.

Technology primitives

  • APIs
  • MCP
  • Tool calling
  • Structured outputs
  • Sandboxed execution
  • Tracing

AI HERMES

One environment for controlled execution.

AI Hermes is the product layer through which the harness, workflows, human oversight, controls, integrations and evidence are brought into one operating environment.

  1. 01AI Harness
  2. 02Agentic Workflows
  3. 03Human Oversight
  4. 04Guardrails & Evals
  5. 05Integration & Evidence

PRODUCT LAYER

AI Hermes

AI Hermes is being developed as a controlled workspace for secure information retrieval, document intelligence, workflow execution, exception handling and expert review across financial operations.

It is not positioned as a fully autonomous operating system. Material judgement, review and approval remain visible and human-led.

Meet Our Experts & Professionals

Which workflow should controlled AI strengthen first?

Start with the operating task, source data, review boundary and outcome that matter most.

Discuss an Operating Workflow