Question 1

What does ScaleHardened actually build?

Accepted Answer

AI systems and automation that run in production: knowledge assistants grounded in your documents, customer support and voice agents, business process automation, custom internal software, API integrations, AI-powered websites, and the operational automation layer around ecommerce, content, and SEO. If a project needs real engineering rather than a no-code demo, it's likely a fit.

Question 2

How does an engagement typically start?

Accepted Answer

With a discovery conversation about the actual problem, not a sales pitch about a specific tool. From there we scope the smallest system that solves the real bottleneck, give you a realistic timeline and cost range, and only move to build once that scope is agreed. See our Process page for the full breakdown.

Question 3

How is pricing structured?

Accepted Answer

Project-based pricing scoped after discovery, sized to the complexity of what's being built — a focused automation is a different investment than a full custom platform. We don't publish a flat rate card because the honest answer depends on scope, and we'd rather give you an accurate number after understanding the problem than a misleading one upfront.

Question 4

Do you work with our existing tools, or do we need to replace our stack?

Accepted Answer

We build around what you already use wherever possible — CRM, help desk, ecommerce platform, internal tools. Replacing a working system is rarely the right first move; automating and integrating what you have usually is.

Question 5

How do you handle AI 'hallucination' or made-up answers?

Accepted Answer

Every AI system we build for factual/knowledge use cases is retrieval-grounded — it answers from your actual source documents and is explicitly instructed to say it doesn't know rather than guess. We test this as a required guardrail before launch, not as an assumption.

Question 6

What happens to our data?

Accepted Answer

Data handling is scoped explicitly during discovery for every project — what's stored, where, for how long, and who can access it. See our Security page for the site's own data practices, including chatbot and webhook data flow.

Question 7

Can you guarantee ROI or specific results?

Accepted Answer

No, and we're wary of anyone who does before understanding your specific situation. What we can do is scope a system against a clearly defined problem, give you a realistic estimate of its effect based on the mechanism (not a fabricated promise), and measure it after launch.

Question 8

How long does a typical project take?

Accepted Answer

A focused automation or knowledge assistant is often weeks; a full custom platform or website rebuild is longer. Every service page includes a realistic phase-by-phase timeline, and we give you a specific estimate after discovery rather than a generic range upfront.

Question 9

Do you offer ongoing support after launch?

Accepted Answer

Yes — most systems need an owner and occasional tuning after launch (source documents change, vendor APIs change, business rules evolve). We scope a maintenance arrangement during discovery so this isn't a surprise later.

Question 10

We're a small business — are we too small for this?

Accepted Answer

Some of the highest-ROI work we do is for small teams automating a single painful bottleneck (a missed-call problem, a manual reconciliation task) rather than building an enterprise platform. Scope matches the business, not the other way around.

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