Ighrem – Cybersecurity & Compliance Readiness Assessment (Lead Qualification System)

Ighrem

Cybersecurity & Compliance Readiness Assessment — an AI-powered qualification layer that converts noisy inbound requests into decision-ready signals (score, risk flags, next steps) before humans get involved.

If your pipeline is full but your calendar is wasted, you don’t have a “lead generation” problem — you have a lead qualification problem. Ighrem fixes the first-contact step.

Check Eligibility (Assessment) Request Setup via Email LinkedIn Page

Built for MSPs, vCISOs, auditors, and compliance consultants who want fewer leads and higher signal. Not a generic chatbot. Not “AI content.” This is structured qualification.

What Ighrem Is

Ighrem is a structured cybersecurity and compliance readiness assessment. It asks controlled questions in a designed sequence, applies scoring logic, and produces a consistent output. The system sits in front of humans — sales, consulting, audit, security — and filters out noise before it becomes meetings.

✅ Controlled question flows (not open-ended chat)
✅ Scoring + qualification logic (signal, not “advice”)
✅ Risk & complexity flags (early detection)
✅ Routing rules (escalate only when needed)
✅ Designed for regulated/sensitive environments

Why This Exists

Cybersecurity and compliance services attract a lot of low-quality inbound: vague fears, unclear requirements, and “we need help” requests without budget, scope, or urgency. Traditional forms don’t capture context, and generic chatbots create unstructured text. Both push humans into discovery too early.

Ighrem creates a qualification boundary that protects human time and increases conversion quality: fewer dead-end calls, clearer cases, faster decisions.

How It Works

Ighrem operates as an assessment flow with branching logic. It can be delivered as a web intake, an embedded chat-style experience, or a guided form — but the engine stays the same: structured questions → scoring → outputs → routing.

1) Intake

Capture the minimum required context: organization type, scope, constraints, and objective.

2) Qualification

Apply scoring rules: readiness, risk, complexity, urgency, and evidence requirements.

3) Output

Generate decision-ready results: score, flags, missing inputs, recommended next step.

4) Routing

Route only qualified cases to humans (call / audit / proposal) and reject or defer the rest.

Outputs You Get

The output is not a transcript. It’s structured qualification designed for action. Depending on your workflow, Ighrem outputs:

✅ Qualification Score (high-signal ranking)
✅ Risk Flags (e.g., critical services, multi-country, high exposure)
✅ Readiness Gaps (what’s missing before work starts)
✅ Evidence Requests (documents/data needed for audit or consulting)
✅ Recommended Next Step (call / workshop / defer / reject)

Who This Is For

Ighrem is designed for buyers who live in the “first contact” pain: too many inbound requests and not enough clarity to decide fast.

✅ Managed Service Providers (MSPs) qualifying security/compliance opportunities
✅ vCISOs and security consultants filtering discovery calls
✅ ISO 27001 / audit partners pre-screening readiness
✅ GDPR / compliance advisors standardizing intake
✅ Internal IT/security teams triaging requests consistently

GDPR and Trust

Ighrem is built to be data-minimal by design. The assessment can be configured to collect only what is necessary for qualification and to avoid sensitive fields unless there is explicit consent and a clear purpose.

Trust principle: collect less, qualify better. The system exists to reduce exposure while increasing decision clarity.

FAQ

Is this a generic chatbot?
No. Ighrem is structured qualification with controlled flows, scoring, and routing.
What do I get as output?
Score, risk flags, missing inputs, readiness gaps, and a recommended next step.
Who is it for?
MSPs, vCISOs, auditors, compliance consultants, and internal security teams.
Can it be adapted to my workflow?
Yes. The engine stays the same; only questions, scoring, and routing change.
Is it GDPR-aware?
Yes. Data minimization and consent-based fields can be enforced by design.
How do we start?
Define your qualified lead criteria and decisions, then implement the flow and scoring.
Check Eligibility (Assessment) Request Setup via Email

If you don’t have an assessment page yet, keep the /assessment link as a placeholder and point it later to your Copilot Studio / form flow. The important part is the positioning: qualification first.