Digital Africa11 min read

RAG Assistant for Technical Procedures at a Manufacturer in Miami (2026 Cost)

Mohamed Bah·Fondateur, Kolonell
October 24, 2026
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RAG Assistant for Technical Procedures at a Manufacturer in Miami (2026 Cost)

RAG Assistant for Technical Procedures at a Manufacturer in Miami (2026 Cost)

Digital Africa

The verdict in three sentences

For a manufacturer in Miami with 3,000 technical documents spread across SharePoint, network drives and scanned PDFs, a RAG AI assistant costs USD 13,000 to 33,000 to build and USD 110 to 650 a month to run. The value comes from three non-negotiable requirements: access rights inherited from the sources, answers that cite the document and page, and US-based hosting under your control. With 25 minutes saved per technician per day, the project usually pays back in under 6 months.

What a RAG assistant costs in 2026

RAG (retrieval-augmented generation) means indexing your documents, retrieving the relevant passages for each question, then having a language model write the answer based only on those passages. The cost depends on source quality and the number of connectors.

ItemContent2026 budget (USD)
Scoping and source auditInventory, duplicates, obsolete versions, permissions2,200 to 4,400
ConnectorsSharePoint, network shares, document management, ERP2,700 to 7,700
Document processingOCR of scanned PDFs, chunking, tables, diagrams2,200 to 6,600
Search and answer engineVector index, hybrid search, citations3,300 to 7,700
Permission managementMicrosoft 365 permission inheritance, access log1,600 to 4,400
InterfaceWeb, Teams or shop-floor tablet1,100 to 3,300
Testing and evaluation150 to 300 reference questions, accuracy measurement1,100 to 2,700
Total projectDepending on complexity13,000 to 33,000

Beyond that, recurring cost combines model API calls, index hosting and maintenance. For 40 users asking 15 questions a day, the API bill usually stays under USD 165 a month.

Recurring costs and hosting choices

The choice between a hosted model API and a self-hosted open source model strongly affects the monthly bill and the level of data control.

OptionMonthly cost (2026 order of magnitude)DataAnswer quality
Model API with US regionUSD 110 to 330Processed in the US, not used for trainingHigh
API + index on your own cloud tenantUSD 220 to 500Index in your tenant, API calls in the USHigh
Open source model on rented GPU serverUSD 440 to 650Everything stays with your hostGood, improving
Open source model on internal serverUSD 165 of power and upkeep, plus USD 9,000 to 16,500 of hardwareEverything stays in the plantGood
Generic tool licenseUSD 20 to 35 per user per monthDepends on vendorVariable, few precise citations

For a mid-sized manufacturer, the API option with the index in your own cloud tenant offers the best balance. The contract must exclude any use of your data for training, and for ITAR or export-controlled documents, keep those out of scope or self-host.

What makes these projects fail

The technology works. Failures almost always come from the sources: three versions of the same procedure, crooked scanned PDFs, confidential documents open to everyone. Before development starts, check these points.

RiskSymptomCountermeasure
Multiple versionsAnswer based on an outdated procedureRule: only the approved version is indexed
Ignored permissionsA technician reads an HR documentStrict SharePoint permission inheritance
Made-up answersWrong torque valueMandatory citation, refusal when no source
Scanned documentsUnreadable tablesOCR with table recognition, check on 50 pages
Low adoptionUnder 20% usage after 2 monthsAccess from Teams and shop-floor tablets, champions per team

Mini case study

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You are :

Michael, engineering director of a machinery manufacturer near Miami, manages 40 technicians in maintenance and production. Each loses on average 25 minutes a day looking for a procedure or calling an experienced colleague. Over 210 working days: 40 × 25 min × 210 = 3,500 hours a year. At a loaded cost of USD 50 an hour, that is USD 175,000.

The assistant is quoted at USD 24,000, plus USD 385 a month for API, hosting and maintenance, or USD 28,620 in year one. Even recovering only half of the lost time, the gain reaches USD 87,500. Onboarding a new technician also drops from 3 months to 6 weeks, which matters with 6 hires a year.

FAQ

Could our confidential documents leak?

Not if the assistant inherits SharePoint permissions and the API contract excludes training on your data. An access log keeps every question and every document consulted for 12 months.

How long until the assistant is live?

Count 6 to 10 weeks for 3,000 documents, including 2 weeks of source cleanup and 2 weeks of testing with 5 to 10 pilot technicians.

What accuracy can we expect?

On well-structured procedures, 85 to 92% correct and sourced answers on a set of 200 reference questions. The assistant must answer 'I don't know' rather than invent.

Can it be used on a tablet on the shop floor?

Yes, a tablet-friendly web interface and a Teams integration cost USD 1,100 to 3,300. Voice search adds about USD 1,600.

What happens when a procedure changes?

Sync re-indexes modified documents every night or in real time. The new version replaces the old one within 24 h at most.

Let's scope your project. We audit your document sources and then price an AI assistant aligned with your access rights, with an indicative budget and a 6 to 10-week pilot. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.

Tags:#internal AI assistant#RAG#knowledge base#Miami#SME automation#artificial intelligence
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Mohamed Bah

Fondateur, Kolonell

Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.