Five ways in. Every one fixed-scope and fixed-fee.

Advisory

Executive Briefing

A half-day session for the executive group that has to decide whether to fund agent work — and on what evidence.

• A shared vocabulary across engineering, data and finance
• An honest read on where your context actually breaks
• A funding decision made on evidence rather than vendor narrative

Diagnostics

Token Economics Audit

Two weeks. One question: what is each unit of agent work actually costing you, and which of that spend is buying nothing?

• Cost per unit of work, not cost per million tokens
• A CFO-ready report that survives a finance review
• A defensible baseline before you commit to a larger program

Diagnostics

Context Supply Chain Assessment

Map your context supply chain, score maturity L0–L5, and prioritize fixes so agents stop failing on missing context.

• A shared, procurement-ready view of where context breaks under real operating load
• Separates model limits from context gaps — sources, structure, semantics, retrieval
• Ranks remediation by production risk and dependency cost
• A concrete path from briefing to funded implementation

Delivery

Implementation

Build production-grade context infrastructure across the supply chain so agents receive reliable, governed context at runtime.

• Turns assessment findings into systems that hold up in production
• Improves context stage by stage, without betting the program on unproven client-side savings
• Aligns engineering to maturity targets, structured through self-improving
• Artifacts procurement and technical evaluators can review, accept, and operate against

Operations

Managed Operations

Ongoing ownership of context health, agent operations, and the learning loop so production performance stays stable.

• Keeps context quality measurable after go-live, instead of drifting back to ad hoc
• Maintains retrieval, agent operations, and feedback loops under continuous change
• Treats context as operated infrastructure, not a one-time project
• One accountable partner for long-running context work

Software

CoreModels

Developed by ARAMAI · deployed and operated by Ariesnet.

Schema intelligence middleware. It is where the structure and meaning of your context get authored, governed and exported — in formats the rest of your stack already reads.

• Your teams keep their own vocabulary, and the systems still agree on what a customer is
• The conformance contract exports in formats your stack already reads — JSON Schema, JSON-LD, XSD, ShEx
• Your agents connect over MCP on paid plans, running on your own agent API key
• Start free; hitting a plan limit never blocks work you have already done