Commonquestions.
Q & A
How we work, what it costs, and what you own.
If yours isn’t here, email hello@cirql.ai and we’ll add it.
- Q01
What is CIRQL?
CIRQL builds a trusted operating context for industrial companies. We connect systems, documents, email, and team knowledge, find where time and money are being lost, build the next improvement, and support it as the business changes.
- Q02
How do we work together?
Three clear paths, laid out on our work-with-us page: a structured assessment that builds a shared context layer; managed storage, sync, and build support from CIRQL; or a scoped workflow build when you already know the single thing you want improved.
- Q03
How much does CIRQL cost?
The assessment and builds are scoped to the operation. Managed storage and sync have an ongoing fee; build and support work is scoped separately. Book a call and we will recommend the right starting point.
- Q04
How fast does CIRQL deliver?
We first connect the operation, prioritize the highest-value bottleneck, build the first fix, and then support it. Timing depends on the scope of the first improvement and the systems involved. See how we work for the full process.
- Q05
What industries does CIRQL serve?
Industrial companies doing $5M–$100M in annual revenue with 10–200 employees: manufacturing, distribution, field service, and procurement and operations teams.
- Q06
How is CIRQL different from hiring an agency or freelancer?
CIRQL is not a replacement ERP, a generic CRM, or an open-ended request queue. We connect the systems you already use, build a durable company context, identify what to improve next, and build or support the missing tool. You own the resulting context, data, and code.
- Q07
How is CIRQL different from Salesforce, HubSpot, or NetSuite?
We do not replace Salesforce, HubSpot, NetSuite, or your ERP. We connect the records in those systems, add the documents and team knowledge around them, and build the missing workflow tools or agents on top of that shared context.
- Q08
Does CIRQL work with my existing ERP or systems?
Yes. We work on top of your existing systems and fill the gaps around them. We can connect ERPs like SAP, Oracle, NetSuite, and Epicor; accounting tools like QuickBooks and Sage; CRMs like Salesforce and HubSpot; email platforms; warehouse management systems; and the files and conversations your team relies on. The goal is to make everything work together, not to rip and replace.
- Q09
What if I only need one thing built?
That is exactly what one-off projects are for. If you already know the bottleneck — purchase-order entry, a vendor-sourcing workflow — we can build that one thing and hand it over, priced by scope, no assessment required.
- Q10
How do you handle data security and confidentiality?
Every engagement starts with an NDA and an agreed access plan. You can keep the context on your infrastructure, or have CIRQL securely store and sync it for an ongoing fee. Access is limited to the people, tools, and agents you approve. Code and data ownership stay with you.
- Q11
Do I own what CIRQL builds?
Yes. You own the data, the company context, and the code we build. CIRQL can host and support the context layer, but it remains your operating asset and can be used by the builders and tools you approve.
- Q12
Where should a mid-size manufacturer start with AI?
Start with measured workflow friction — quotes, work orders, email handoffs, inventory data — not a company-wide AI transformation. The best ROI usually comes from automation and structured data on top of existing ERPs and CRMs, then retrieval-grounded tools for internal knowledge. Read the full guide: Where should a mid-size manufacturer start with AI?
- Q13
What are the highest-ROI AI and automation use cases for distributors?
Distributors typically see the fastest returns on order intake and exception handling, pricing and margin guardrails across branches, inventory visibility and alerting, and sales follow-up tied to CRM state. See AI for industrial distribution.
- Q14
Can we use AI with our ERP without replacing it?
Yes — and that should be the default. Treat the ERP as the system of record; layer workflow tools, integrations, and AI-assisted experiences that read and post through governed APIs. Rip-and-replace ERP projects are slow and risky. Read Using AI with your ERP (without replacing it).
- Q15
What is the difference between RAG and fine-tuning for internal industrial data?
Retrieval-augmented generation (RAG) answers questions by retrieving relevant chunks from your documents and policies, then generating text grounded in that context — good for specs, SOPs, and tribal knowledge that changes. Fine-tuning adjusts a model's weights for narrower goals; it is usually secondary after RAG, access control, and evaluation are in place. See RAG vs. fine-tuning for internal industrial data.
- Q16
How do we assess AI readiness before buying software or hiring a team?
Readiness combines leadership scope, system-of-record clarity, integration paths, data naming, governance, and change management — not a single maturity score. Quantify value by translating weekly hours into dollars before you commit; our assessment does exactly this. Or read the readiness guide.
- Q17
Where is the CIRQL team located?
CIRQL is a US-based team based in Minnesota — no offshore development, no outsourcing. We show up on site to embed, and we work with operators here and in neighbouring states. Learn more about the team.
- Q18
How do I get started with CIRQL?
Book a 30-minute discovery call. We'll learn about your operation, explain the context layer, and help you choose whether to start with the assessment, a known workflow, or managed build support.
Still have questions?
Book a 30-minute call and we’ll answer everything — plus show you what we’d build first.