Every engagement follows the same discipline, from a five-day audit to an enterprise deployment. This page explains the method, the controls built in, who it suits, and what to expect commercially.
Six steps, in order, every time.
Identify the questions, decisions and recurring work consuming disproportionate time or depending on too few people.
Document the relevant knowledge, systems, information flows, permissions and process owners.
Clean and organise company information so the system has reliable material from which to work.
Assemble the knowledge base, connections, agents, permissions and workflows as assets configured for — and owned by — your business.
Test against known answers, cite every source, and confirm behaviour and governance before anything acts on live systems.
Release through agreed interfaces with permissions, approvals, logs and escalation — then monitor, correct and extend under your control.
The AI Opportunity Audit covers steps one and two for a single function. The Audit & Roadmap covers steps one to three across the company and plans four to six. Deployments execute the plan.
Governance is built in — not added afterwards.
Role-based permissions decide what each person and agent can see, ask and do. The system respects the access rules of the sources it connects to.
Answers are grounded in your approved knowledge and connected systems, and cite where they came from — so responses can be checked, not just trusted.
Consequential actions require human approval by default. The system prepares and proposes; a person authorises anything that leaves the building.
Activity, approvals and corrections are recorded, and behaviour is checked against known answers before anything runs on live systems.
Wherever the architecture allows, the intelligence layer is deployed into environments and accounts your business controls, with configuration and data kept on your side.
Knowledge, memory, workflows and configuration are structured as assets you keep — so the underlying model can change without rebuilding your operating intelligence.
The specific hosting, data-residency and integration model is confirmed during the Audit and depends on your systems, providers and requirements. We describe an implementation as private or client-controlled only where the agreed architecture actually supports that.
Built for established companies with real operations to govern.
Not sure which side you fall on? The US$4,500 AI Opportunity Audit is designed to answer exactly that, in writing, in five business days.
Where an owned intelligence layer tends to earn its place.
Leadership asks the business what needs attention — approvals, overdue items, exceptions and deadlines — and gets a source-backed answer across accounting, CRM and project systems, permission-checked and logged.
Agents research accounts, prepare meeting briefs and draft follow-ups from your CRM and knowledge base. People review and approve; nothing is sent without a human.
Procedures, decisions, corrections and exceptions become a governed knowledge base new and existing staff can query — instead of interrupting the few people who hold it.
Patterns are illustrative of the kind of work an Owned Business Intelligence deployment supports. They are not case studies, guarantees or claims about a specific client outcome. Actual scope, systems and results are defined by your Audit.
Working with Andre and the team was a great experience. They've been our go-to for many years — solving problems that fell well outside their scope of work.
QC has produced an incredible amount of content for us — on top of business-development efforts that landed several new event sponsors. They take the "business partner" approach seriously.
We've worked with QC for a while, and the firm shows up every single time we need something done asap.
A complex shoot across three continents on a very limited timeline — and it was smooth sailing. Very good work.
Feedback relates to Quantum Cumulative's media and production work. The same team, discipline and accountability lead every Owned Business Intelligence engagement.
A constrained diagnostic of one business function: a structured intake questionnaire, limited document review, an opportunity scorecard (value, feasibility, risk), a prioritised list of workflows, one recommended first project, a short written readout and one review call. Delivered within five business days of a complete intake.
It is not a production build. There are no live integrations, no deployment and no consequential actions. Every output is reviewed by an accountable human.
No. It is credited in full toward an Owned Business Intelligence Audit & Roadmap commissioned within 30 days. The Audit & Roadmap is in turn credited against a deployment: 100% against US$50,000+, 50% against US$35,000–49,999, commissioned within 60 days.
The AI Opportunity Audit can be ordered online by card, or ordered and invoiced; we confirm personally within one business day and send the intake questionnaire with the invoice. Larger engagements are paid in advance once scope is agreed, with deployments split 40% on commissioning, 30% when the core layer is operational and 30% after acceptance testing. Work starts once the intake is complete and payment is received.
Wherever the architecture allows, the intelligence layer is deployed into environments and accounts your business controls, with configuration and data kept on your side. The specific hosting, data-residency and integration model is confirmed during the Audit and depends on your systems and providers. We describe an implementation as private or client-controlled only where the agreed architecture actually supports that. Third-party platforms remain subject to their own terms.
Your business data, approved knowledge base, organisational memory, deployment configuration, agent instructions, workflow definitions, permission policies, evaluation questions, correction history, activity and approval records, and implementation documentation. Quantum Cumulative retains its general methods, reusable frameworks and non-client-specific components.
All prices are in US dollars; taxes are additional where applicable. Third-party software, AI/model usage, cloud infrastructure, telephony, messaging, licensing, specialist services, talent, media spend, travel and external professional fees are additional unless expressly included. Timelines depend on timely client access, information and decision-makers.
It prepares, proposes, monitors and answers with sources. Consequential actions require human approval by default. The system supports the work of your team and does not provide legal, accounting or other regulated professional advice.
Engagements are led directly by the founder, Andre Lomov, and supported where required by specialist engineering, security and integration practitioners — so the right expertise is applied to each build while accountability stays in one place. We work with a small number of companies at a time.
Start with one function, five days and a written recommendation you keep.