AI consulting use case

AI consulting for customer support copilots

Support AI that resolves real tickets and briefs your agents — grounded in your own policies, with clean handoffs when it shouldn't.

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The problem

Why customer support copilots is hard to get right

Support costs scale with volume while customers expect instant, correct answers. Generic chatbots either deflect to a help page or hallucinate a policy that doesn't exist, and both erode trust faster than they save money. The real difficulty is grounding answers in your current knowledge base, knowing when to escalate, and proving the copilot helps rather than hides behind a deflection metric.

How we build it

Grounded retrieval over your KB

Retrieval pipelines tied to your live help center, policies, and macros, so every answer is current and cited — never invented.

Agent-assist and full self-serve

A copilot that drafts replies for human agents and a customer-facing mode that resolves common issues end-to-end.

Escalation and handoff logic

Clear thresholds for when the copilot stops and hands a fully-summarized case to a human, instead of looping a frustrated customer.

Quality and tone evaluation

Evals for accuracy, policy compliance, and brand voice that run on every change, so resolution rate climbs without quality slipping.

The outcome

First-contact resolution rises and handle time drops, with a copilot your agents trust and customers don't have to fight — measured on genuine resolution, not deflection.

RelatedAgentic Systems

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Key concepts

GlossaryAI agentsAn AI agent is a system that uses a language model to decide and take actions toward a goal — calling tools, observing results, and looping until the task is done.

Glossaryretrieval-augmented generation (RAG)Retrieval-augmented generation (RAG) is a pattern that fetches relevant documents at query time and feeds them to a language model, so its answers are grounded in your own data rather than only its training.

GlossaryguardrailsGuardrails are the controls placed around an AI system that constrain what it can say or do — checking inputs and outputs and bounding the actions it's allowed to take.

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Put AI to work on customer support copilots

Bring us the metric you need to move. We will tell you what we would build, how long it takes, and what it is worth.

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