Examples
Anonymised composites — each shows the problem, our approach, and the outcome. No client logos or guaranteed metrics.
Small team gets the same questions daily. Replying takes hours.
Indexed FAQ and past replies; agent drafts responses with source links. Billing and complaints route to a human queue.
Draft replies from your knowledge base. Human approves before send. Billing escalates.
You ship every week but client updates lag — summarising what changed is tedious.
Script pulls completed tickets from your tracker, groups by theme, fills an email template. No AI needed for the core loop.
Script collects completed items, groups by topic, produces a draft. Human reviews, then sends.
Contract work under confidentiality. Uploading to a public AI site is not acceptable.
Local embedding index on a workstation; queries stay on disk. Export only when the user copies an answer out.
Local indexing and queries on your machine. Nothing leaves unless you copy it out.
Inbound leads land in one inbox. Sales spends time sorting instead of calling.
Form webhook tags leads by service line and region, creates a CRM entry, notifies the right rep with context.
Leads arrive pre-tagged with a one-line summary. Rep gets a Slack ping with the form details attached.
Team reviews 40-page vendor proposals. Reading everything takes half a day.
Upload to a private workspace; agent extracts requirements, risks, and pricing tables into a one-page brief. Human verifies numbers.
One-page brief with page references. Reviewer checks flagged sections, not the full document.
Owner wanted AI to make strategic decisions that change weekly.
Mapped the decision tree — inputs changed too often, exceptions were common. Proposed a weekly review checklist instead.
We documented why automation would cost more than it saves. Proposed a checklist instead.