VNcent

Build-ready blueprintsfor complex pharma IT projectsin 10 days

Reduce backlogs and launch projects faster. We turn fragmented business input into vendor-neutral, regulation-aligned requirements that business and IT agree on, and keep them current as things change.

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Why business requests get stuck in the backlog

The business brings a request to IT. Months of meetings follow, and there is still nothing to build from.

Too many stakeholders. Business, QA, regulatory, IT, every country has a say, each meeting reopens the last one, and work stops until key experts find a window.
Too many rules. GxP, multi-country regulations and internal SOPs, more than any analyst team can work through in time.
Too much is undefined. Vague requests, unwritten rules, the same words meaning different things.
Every vendor starts from scratch. The same need is re‑described again and again.
Documents drift. They contradict each other and go out of date before the project starts.

And the cycle begins again.

How we get requests moving

We take everything you already have and turn it into requirements your teams can build from.

Fewer meetings, better prepared. Every session is planned in advance, so experts join only when a decision is needed, and settled questions stay settled.
One pipeline instead of a large analyst team. AI and our methodology handle the volume of regulations and SOPs, and a lead analyst controls every output.
Rapid prototypes. Short iterations show stakeholders what we understood, so gaps and mismatched terms surface early.
Vendor-neutral requirements. Written once, ready for any vendor or in-house team.
Requirements that stay current. When something changes, AI traces every linked requirement across all documents and updates each affected place for the analyst to confirm, so nothing falls out of sync.

The cycle stops here.

Timing, scalability and deliverables

Indicative example of greenfield project timelines in weeks

Best case (2 weeks)
1 wk
0.5 wk
0.5 wk
Typical greenfield (5 weeks)
2 wk
2 wk
1 wk
Broad scope (8 weeks)
2 wk
4 wk
2 wk
Deliverables
1
Initiation and discovery
  • Engagement plan with the stakeholder map and the approval matrix
  • Customized questionnaire based on the client’s current materials
  • As-is process models and a list of gaps and open questions
  • Preliminary estimate of the analysis phase, as a range
  • Vision & Scope draft, typically delivered in 1–2 business days after the last interview
2
Scope-dependent work
Scope approval and requirements
  • Approved Vision & Scope: goals, success criteria, scope and out-of-scope, users and roles, risks; the scope baseline
  • Detailed plan and estimate for the requirements stage: workshop plan and delivery schedule
  • Workshop question lists with a proposed answer for each question
  • Requirements drafts with to-be process models and screen mock-ups
  • Findings register: ambiguities, conflicts, assumptions and proposals for client decision
3
Review, baseline and handoff
  • Requirements baseline 1.0, approved: an SRS, a user-story backlog or a URS/FRS, with acceptance criteria, test scenarios and scripts and verification methods at the agreed level of detail
  • To-be business process models, approved with the requirements
  • Traceability matrix linking each requirement to its source and verification method
  • Mock-up screens
  • BPMN diagrams
  • Record of comments, decisions and approvals
  • Handoff session for the design and development team
Tools

AI-enhanced toolbox

To implement our methodology, we’ve developed VNcent, a proprietary set of tools

1Context & knowledge
  • Intelligent meeting processing tools
  • RAG and flexible LLM integration
2Generation
3Verification
  • Consistency verification engine
  • Requirements traceability matrix tool
4Result
Detailed and precise software requirements
AI Code Generator
Optional next step
On-premises deployment

Our toolset can be deployed on-premises within the client’s own infrastructure, which supports the client’s security and regulatory compliance requirements and allows data to remain under the client’s control.

See how VNcent works

Why our approach works

It’s not just AI. Our pipeline is built on BABOK, PMBOK and Karl Wiegers’ requirements practices, refined over years of hands-on project work. AI makes it fast. Method and people make it right.

Expert-verified, not AI alone

AI accelerates delivery, but senior analysts validate and take responsibility for the final result.

Built-in consistency across all artifacts

Changes are applied through structured AI skills, predefined step-by-step procedures, and reflected across all documentation with analyst review.

Verification & traceability by design

Quality is built into the process through AI-driven verification, automated traceability support, and human review.

Adapted to your processes and standards

Outputs align with your internal templates, workflows, and compliance requirements.

References

What our clients say

Feedback from leaders in digital health, pharma and technology

“I was genuinely impressed by the speed and quality of the analytical document. The depth, clarity, and structure exceeded expectations, it not only captured the interview content accurately but also enriched it with valuable details. The document required almost no edits and is a solid foundation for further work”
Patrik S., PhD (Frankfurt, Germany)
Principal Digital Health Consultant
“I engaged Virtual Nomad’s team to support requirements gathering and strategic documentation at the project start. Using their AI-driven methodology, they completed the process in just two weeks delivering high-quality results in a fraction of the usual time.”
Joseph R., PhD (Geneva, Switzerland)
Serial Chairman & Founder, Tech and Pharma Sectors (10×MOIC Exit)
About Virtual Nomad
25
analysts, engineers and consultants
25+
years of experience
20+
greenfield projects over two years
3
countries: USA, Poland, Georgia

Successfully piloted at a Fortune Global 500 pharma company

Delivered under NDA, ISO 13485 and ISO 27001 certified processes, on-premises option

Shall We Start with a Pilot?

Your context, our analysts and methodology. AI speed with human accountability for the result.

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