Context
The original inquiry, sources, evidence, and missing facts stay attached to the opportunity.
Flagship workflow proof
The leak is the uncontrolled space between a lead arriving and the team acting.
ALCH3MY turns one high-value inquiry into structured context, evidence-backed qualification, a human-approved response, a clean system handoff, and a visible operating receipt.
Northstar Mechanical and Harbor Point Medical Plaza are fictional reference organizations. This demonstration shows the operating pattern, not claimed client results.
Faster preparation
Human-controlled release
Evidence and receipts
What this proves
AI becomes useful when it helps people make a real decision.
This is not a chatbot floating beside the work. It is a controlled workflow connecting the tools the company already uses, preparing decisions for the right owner, and preserving what happened.
Control
Agents can research, score, organize, and draft. People approve external commitments.
Continuity
CRM records, tasks, drafts, owners, and deadlines move as one coordinated handoff.
Receipts
The workflow records inputs, decisions, approvals, writes, and unresolved risks.
Try the operating loop
You are the decision owner. Take the lead from inquiry to accountable next action.
Open the fictional lead, inspect what the agents prepared, make the human approval decision, and follow the work through the system handoff.
Interactive product proof
Take control of the lead before it disappears into the inbox.
You are the decision owner. Follow one fictional commercial HVAC inquiry from arrival to operating receipt. Nothing leaves the system until you approve it.
7 connected states1 human decision≈ 90 sec guided walkthrough
Inspect every state
The complete workflow, in detail.
The same seven states stay visible below for buyers who want to inspect the evidence, controls, and system behavior at their own pace.
01Capture
The inquiry arrives with the operating clock already running.
Source, original message, stakes, timing, and contact context enter one review queue before the lead gets lost in a shared inbox.
02Research
Agents prepare an evidence-backed opportunity brief.
The workflow checks the organization, property, contact role, service fit, and CRM history. Directional estimates stay labeled as estimates.
03Qualify
Fit, urgency, and risk become visible before anyone replies.
The team receives a recommendation, the reasons behind it, missing facts, and the policy checks that determine the next safe action.
04Approve
The agents prepare the work. Your team controls the decision.
A human reviews the claims, evidence, owner, next step, and response draft. External sending remains disabled until a person approves it.
05Prepare
The follow-up is specific, useful, and still unsent.
The draft reflects the real inquiry, proposes one clear next step, and avoids unsupported promises about price, schedule, or outcome.
06Handoff
CRM, ownership, and follow-up move together.
The opportunity, owner, deadline, draft, and next action are prepared across the existing tools instead of becoming another disconnected AI output.
07Prove
Every important action leaves an operating receipt.
Inputs, evidence, agent decisions, human approval, system writes, and unresolved risks remain visible for review and improvement.
Approval where the owner is
The trust boundary survives the small screen.
A decision owner can review the recommendation and evidence without turning mobile access into accidental autonomy.
Workflow Sprint fit
A strong first sprint has consequential repetition, a clear owner, and a decision worth improving.
- Leads arrive from one or more channels, but context and ownership fragment immediately.
- Research, qualification, CRM hygiene, and follow-up depend on individual memory.
- Response quality matters enough that uncontrolled sending would be reckless.
- The team can name the workflow owner, approval boundary, and definition of done.
Start with one workflow
Find the first operating loop worth fixing.
We will map what comes in, where information gets lost, who decides, what needs approval, and what should be recorded before recommending a build.
Request an operating-layer review