Demos
Interactive Demos
Each demo starts with the outcome it demonstrates and the baseline a real pilot would compare it against — then walks through the workflow step by step. Every demo includes a human checkpoint — that is deliberate, not decorative. Use the step pills to jump to a step, or use Previous / Next to walk through in order.
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How to read these demos
What to look for: Start with the outcome box at the top of each demo, then (1) what goes in, (2) what the automation drafts or checks, and (3) where a person must approve before anything is sent, posted, or changed. Automation drafts, checks, and routes; a person approves before anything leaves the company. Synthetic names, companies, order numbers, and amounts are invented for illustration only. Each demo ends with an edge path — what happens when the input or a system does not behave.
Tip: inside a demo, use the step buttons or your keyboard arrow keys to move through the steps.
Jump to a demo: A · Sales Follow-Up · B · Customer Support · C · Document Automation · D · Lead Scoring & Routing · E · Purchase Request Approval
Demo A: AI Sales Follow-Up
Baseline a real pilot would compare it against: The share of enquiries with a recorded qualification decision and a named next action, counted over an agreed period before the pilot and again during it. No values exist yet — the baseline is defined before any pilot starts.
The problem: Follow-ups live in inboxes and get chased late.
A new enquiry arrives on a website form. Watch how it is qualified, recorded, and drafted — without sending anything automatically.
Name: Sara Haddad (invented) · Role: Operations Director · Company: Northwind Supplies (invented) · Message: “We spend too long chasing order follow-ups.” · Source: website form · No real customer data is used.
1. Incoming enquiry
A visitor submits a form: name, work email, company, and a short description of their problem.
2. Qualification
The workflow checks the enquiry against agreed criteria: company, role, and problem type.
3. CRM entry
A lead record is created with the enquiry, source, and qualification notes.
4. Draft follow-up
A draft reply is prepared, referencing the stated problem and proposing next steps.
5. Human approval
Human checkpoint — approval required. A sales owner reviews, edits, and approves the draft. If it is not approved, nothing is sent.
6. Logged activity
The approved message and the outcome are logged in the CRM for follow-up.
7. Edge path: duplicate contact
The enquiry matches a contact already in the CRM. The workflow proposes a merge and stops: a sales owner confirms the merge before any record changes. No duplicate record is created, and no draft is sent from a duplicate record.
Tip: use the step buttons or your keyboard arrow keys inside this demo.
Book a call about this workflow → · Related: AI Automation & Agents · Professional services case
What changed: The approved reply is sent and the next action has a named owner.
Demo B: AI Customer Support
Baseline a real pilot would compare it against: The share of answers sent only after verification or escalation where required, and the share of cases with a recorded resolution — counted over an agreed period before the pilot and again during it. No values exist yet.
The problem: Customers wait for order answers, and sensitive requests risk an unverified reply.
A customer asks about an order. Watch how approved knowledge, confidence checks, and escalation work together.
Order: DEMO-8841 (invented) · Question: “Where is my order, and can I change the delivery address?” · Approved sources only: help articles + order-status record. No real customer data is used.
1. Incoming question
A customer asks: “Where is my order, and can I change the delivery address?”
2. Approved knowledge retrieval
The assistant retrieves only from the approved help articles and order-status source.
3. Draft response
A draft answer is prepared with the order status and the address-change options.
4. Confidence / risk check
The draft is checked for confidence and for policy-sensitive content.
5. Human escalation
Human checkpoint — escalation required. Because the request is sensitive, the case is routed to a support agent with the draft attached. The customer is not left with an unverified answer.
6. Resolution & learning
The agent resolves the case and the outcome is recorded for quality review.
7. Edge path: order system unavailable
The order-status source cannot be reached. The assistant does not guess a status: it tells the customer plainly that the status cannot be checked right now and routes the case to a support agent with the question attached. No unverified answer is sent.
Tip: use the step buttons or your keyboard arrow keys inside this demo.
Book a call about this workflow → · Related: Managed AI Solutions · Customer support case
What changed: The customer gets a verified answer, and the case is recorded for quality review.
Demo C: Document Automation
Baseline a real pilot would compare it against: The share of invoices where a mismatch is caught before posting rather than after, counted over an agreed period before the pilot and again during it. No values exist yet.
The problem: Invoices wait for manual checking and errors surface after posting.
An invoice arrives by email. Watch extraction, validation, and approval before anything is posted.
Invoice: INV-DEMO-1042 (invented) · Supplier: Demo Supplies Ltd (invented) · Stated total: 1,240 (illustrative currency units) · Extracted total: 1,420 — a mismatch is flagged on purpose in this example.
1. Document received
An invoice PDF arrives in a monitored inbox.
2. Data extraction
Supplier, date, line items, and totals are extracted.
3. Validation
Extracted values are checked against expected formats, totals, and known suppliers.
4. Human approval
Human checkpoint — approval required. A finance reviewer corrects the flagged total and approves the document. No posting happens before approval.
5. System update
The approved data is posted to the finance system and filed with the original document.
6. Edge path: finance system unavailable
The approved invoice cannot be posted because the finance system is unreachable. The approved data is held, not posted, and posted only once the system is reachable again. The audit trail records the hold, the original, and the eventual posting.
Tip: use the step buttons or your keyboard arrow keys inside this demo.
Book a call about this workflow → · Related: AI Automation & Agents · Document-heavy back-office case
What changed: The corrected invoice is posted with an audit trail linking the original, the correction, and the posting.
Demo D: Lead Scoring & Routing
Baseline a real pilot would compare it against: The share of enquiries with a recorded score, route, and next step, and the share of borderline enquiries reviewed by a person — counted over an agreed period before the pilot and again during it. Scores in this demo are illustrative only, and no values exist yet.
The problem: Good enquiries wait behind vague ones because nobody scores them the same way.
Not every enquiry deserves the same next step. Watch a transparent score decide routing — with a person reviewing borderline cases, not an automatic send.
Example weights used only in this demo: role fit 30, company fit 25, problem fit 25, timeline 20 (total 100). Enquiry: Omar, Sales Manager at Demo Retail Group (invented), wants faster quote follow-up, timeline “this quarter”. Demo score: 30 + 20 + 25 + 15 = 90 — routed as high priority in this example. A second, borderline example scores 55 and goes to human review.
1. Enquiry intake
Two synthetic enquiries arrive: one clear sales follow-up need, one vague request with missing company details.
2. Transparent scoring
Each enquiry is scored against published, agreed criteria — role, company fit, problem fit, and timeline — so the score can be explained and challenged.
3. Threshold check
Demo thresholds: 75+ = high priority, 50–74 = review, below 50 = nurture / request more detail. Thresholds are agreed with the client before launch, not hidden in the tool.
4. Routing
The high-priority enquiry is routed to the named sales owner with its score breakdown and source attached. The borderline enquiry is NOT auto-sent to sales.
5. Human review of borderline cases
Human checkpoint — review required. A reviewer checks the borderline enquiry, requests the missing detail, and decides whether it qualifies. Automation proposes; a person decides.
6. Logged outcome
Scores, routing, reviewer decisions, and next actions are logged so the scoring rules can be audited and improved — and so no enquiry silently disappears.
7. Edge path: abusive or spam input
An enquiry is flagged as abusive or spam content. It is not scored and not routed: it is held for a person to confirm rejection, and the rejection is logged with its reason. Filtering never sends a customer message by itself.
Tip: use the step buttons or your keyboard arrow keys inside this demo.
Book a call about this workflow → · Related: AI Automation & Agents · Sales case
What changed: Every enquiry has a score, a route, and a named next step — none silently disappears.
Demo E: Purchase Request Approval
Baseline a real pilot would compare it against: The share of purchase orders issued with both approvals and a complete linked trail recorded before issue — counted over an agreed period before the pilot and again during it. No values exist yet.
The problem: Purchase requests stall on email approvals with no visible trail.
An employee needs new equipment. Watch policy checks and two human approvals happen before any purchase order is issued — nothing is bought automatically.
Request: PR-DEMO-77 (invented) · Requester: Lina, Support Lead (invented) · Item: 4 headsets, illustrative total 480 · Budget code: OPS-DEMO-2026 (invented) · Policy in this example: manager approval required above 250; finance approval required above 400.
1. Request submitted
Lina submits a purchase request with item, quantity, reason, budget code, and requested delivery date.
2. Automated policy check
The workflow checks the budget code, the amount thresholds, and whether required fields are complete. Missing or out-of-policy items are flagged, not bypassed.
3. Manager approval
Human checkpoint — approval required. The line manager reviews business need and budget, and approves with a comment. A rejection here stops the workflow.
4. Finance approval
Human checkpoint — approval required. Finance confirms the budget code and amount before any commitment. No purchase order is issued before this step.
5. Purchase order issued
Only after both approvals, a purchase order is generated from the approved request — with the approved amount, not a changed amount.
6. Audit trail
Request, policy checks, both approvals, comments, and the purchase order are linked in one trail for later review.
7. Edge path: incomplete request
The request is missing its budget code. The policy check fails on completeness, so the request is returned to the requester with what is missing — before any approval is sought. Nothing is ordered, and no approver's time is used on an incomplete request.
Tip: use the step buttons or your keyboard arrow keys inside this demo.
Book a call about this workflow → · Related: Managed AI Solutions · Operations case
What changed: The purchase order exists only because both approvals happened, and the whole trail is linked.
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