Question 1

What does AiGnifier actually do?

Accepted Answer

We build intelligent growth systems. That means brand positioning, digital presence, demand generation and automation designed and operated as one connected system with a single measurement standard, not as separate services delivered by separate teams.

Question 2

How are you different from a marketing agency?

Accepted Answer

An agency delivers activity against a retainer. We build operating systems and hand them over. The engagement is judged on a commercial metric agreed at the outset, and the twelve-month objective is that your own team can run and extend what we built.

Question 3

What size of business do you work with?

Accepted Answer

Predominantly mid-market organisations between Rs 50 crore and Rs 2,500 crore in revenue, plus scale-ups with clear product-market fit. Below that scale the governance overhead of a full system rarely pays back within a year.

Question 4

Do you work with businesses outside your named industries?

Accepted Answer

Yes. The industry pages reflect where we have the deepest pattern library, not a restriction. The AiGnifier Growth Operating System™ is sector-agnostic; what changes is the speed at which we reach useful hypotheses.

Question 5

What is D5MOS?

Accepted Answer

Our delivery methodology: Diagnose, Define, Design, Deploy, Drive. Each stage has defined inputs, outputs and a decision gate. Nothing progresses to the next stage without the previous one producing an agreed artefact.

Question 6

Can we start with a single service?

Accepted Answer

Yes, and most engagements do. The first quarter deliberately focuses on one function to produce an unambiguous result. Breadth without early proof is the most common reason growth programmes stall.

Question 7

Do we need existing AI capability to work with you?

Accepted Answer

No. Most clients begin with none. What matters is that a commercially important process is documented and its data is trustworthy, we assess both in the diagnostic stage before recommending anything.

Question 8

Which AI models do you use?

Accepted Answer

Whichever performs best for the task, and we treat that as an implementation detail rather than a selling point. Systems are built so the underlying model can be changed without rebuilding the workflow around it.

Question 9

How do you prevent AI producing off-brand or inaccurate output?

Accepted Answer

Three mechanisms: a structured brand knowledge base that every workflow retrieves from, review gates sized to the risk of the output, and a prohibited claims list enforced at generation. Nothing regulated or statistical publishes without human factual review.

Question 10

Will AI replace roles in our team?

Accepted Answer

That is your decision, not ours, and we ask you to make it explicitly before deployment. In our engagements recovered capacity is usually redeployed to work the team could never previously reach. Ambiguity on this question is the fastest way to lose team support.

Question 11

What happens when the AI gets something wrong?

Accepted Answer

Every system has a defined confidence threshold, an escalation path and an audit log. Errors surface in the weekly review, get grouped by root cause, and produce a specific fix, either a rule change or a tightened threshold.

Question 12

Is our data used to train external models?

Accepted Answer

No. We configure deployments so client data is not retained for model training, and we document the data flow for every system as part of handover.

Question 13

What should we automate first?

Accepted Answer

Something high-frequency, low-judgement and commercially consequential, typically enquiry response or qualification. Early automations should be chosen for credibility as much as value, because organisational trust is the real constraint on the programme.

Question 14

Will automation work with our existing systems?

Accepted Answer

In almost all cases, yes. We integrate with your CRM, ERP or practice management platform rather than replacing it. Your existing system stays the record of truth.

Question 15

How long does a typical automation take to build?

Accepted Answer

A well-specified single-process automation takes four to eight weeks including the parallel-run period. The specification stage is usually longer than the build; that is deliberate.

Question 16

Do humans stay in the loop?

Accepted Answer

Yes, proportionally to risk. Review gates are essential in early months and are removed only when the measured error rate justifies it. A gate that takes longer than doing the task manually has been designed badly and we redesign it.

Question 17

What happens when our process changes?

Accepted Answer

Every automation has a named owner and a review cadence precisely because processes change. Handover documentation covers how to adjust rules and thresholds without specialist help.

Question 18

How do you price engagements?

Accepted Answer

Fixed-scope project fees for build phases, and a monthly operating fee where we run the system on your behalf. We share indicative ranges in the first conversation rather than after several meetings.

Question 19

Do you offer performance-based pricing?

Accepted Answer

Partly. Where the commercial metric is cleanly attributable and both sides control the relevant inputs, we will place a portion of fees against it. We will not do so where the metric depends on factors outside the engagement.

Question 20

What does a typical first engagement cost?

Accepted Answer

A single-function quarter-one engagement typically sits in the mid five figures. Multi-function programmes with automation build scale from there. The diagnostic stage produces a costed recommendation before you commit to the full programme.

Straight answers no sales language.

General

AI

Automation

Pricing

Timeline

Support

Security

Technology

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Straight answers no sales language.

General

What does AiGnifier actually do?

How are you different from a marketing agency?

What size of business do you work with?

Do you work with businesses outside your named industries?

What is D5MOS?

Can we start with a single service?

AI

Do we need existing AI capability to work with you?

Which AI models do you use?

How do you prevent AI producing off-brand or inaccurate output?

Will AI replace roles in our team?

What happens when the AI gets something wrong?

Is our data used to train external models?

Automation

What should we automate first?

Will automation work with our existing systems?

How long does a typical automation take to build?

Do humans stay in the loop?

What happens when our process changes?

Pricing

How do you price engagements?

Do you offer performance-based pricing?

What does a typical first engagement cost?

Are there ongoing platform or licence costs?

What happens to costs after handover?

Timeline

How quickly will we see results?

How long is the diagnostic stage?

What does a full twelve-month programme look like?

How much time will this take from our team?

Support

What support is included after launch?

Who owns the systems you build?

How does handover work?

What if something breaks outside working hours?

Security

Where is our data stored?

How do you handle GDPR and data protection?

Who on your team can access our systems?

Can you work within our security review process?

Is there an audit trail for automated decisions?

Technology

Do we have to change our existing tech stack?

What platforms do you build on?

Can you work with our internal engineering team?

What if we already have a website we are happy with?

How do you handle integrations with legacy systems?

Still have a question?

Ready to Build an Intelligent Growth System?