Enterprise Intelligence Group
Retail AI transformation and agent performance
Make retail AI useful through business context, human judgment, shared objectives and evaluation. EIG reviews agent workflows, authority and performance.
AI Transformation & Agent Performance
Retail expertise that makes enterprise AI work better.
Enterprise Intelligence Group helps retailers, CPG businesses and distributors improve the decisions and workflows supported by AI. We capture the operating knowledge, judgment and strategic priorities that an agent needs, then define how its work should be evaluated, controlled and improved.
In an EIG review, we examine whether connected agents share compatible objectives, decision boundaries and escalation rules—not only whether they exchange information. The business must make the shared outcome, functional responsibilities and treatment of conflicting recommendations explicit.
Start with a business workflow
An AI Workflow & Agent Performance Review examines a defined decision, for a new use case or existing agents. Evaluate the business outcome alongside response quality, risk and operating cost.
Inputs: business objectives, workflow examples, approved knowledge sources, existing tools, representative outputs, exceptions and available performance evidence.
Outputs: a value/risk assessment, decision-context specification, shared-objective contract, evaluation cases, authority and escalation rules, and a prioritized improvement backlog.
The building blocks we examine
- Context and knowledge: capture rules, merchant judgment and exceptions. Use context engineering to supply relevant objectives and constraints. Retrieval-augmented generation, or RAG, retrieves approved material where useful; structured queries serve operational data.
- Reasoning and tools: define the decision steps, permitted actions and inspectable rationale. Generative AI can prepare recommendations; evidence and assumptions remain traceable.
- Coordination and authority: state what agents share, who resolves conflicts and when human approval is required. Test whether guardrails and permissions enforce the agreed boundaries, rather than merely describing them.
- Evaluation and improvement: test representative cases, missing information and conflicting objectives. Review failures and regressions before extending autonomy.
- Operating performance: manage token usage, cost and latency against the workflow's needs. Measure business acceptance and outcomes alongside technical performance.
A shared-objective contract in practice
Consider agents supporting a promotional range change. Merchandising seeks a stronger category offer; replenishment must respect constrained supply.
| Contract element | Illustrative requirement |
|---|---|
| Shared outcome | Improve category contribution while maintaining agreed availability |
| Evidence | Approved range, supplier capacity, store constraints and demand assumptions |
| Decision right | Agents propose options; the designated business owner approves material trade-offs |
| Evaluation | Test feasible execution, traceable rationale and response to changed supply |
This is an illustrative contract, not a client implementation. Agents may suggest strategy changes; suggestions are not authority to change the strategy.
COMMON QUESTIONS
Is this an EIG software platform?
No. EIG supplies consulting and agreed delivery expertise alongside your architecture and technology partners.
Can we start small?
Yes. One consequential workflow provides a practical starting point for evaluation and controlled improvement.
Related services: Forecasting & Replenishment and Implementation & Programme Delivery.
Explore the technology modernization review
One consequential workflow is a practical starting point.
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