AI Implementation Company — Real Systems That Ship, Not Pilots
MIT research found that 95% of enterprise AI pilots produce no P&L return. Our contracts are built around that statistic: fixed-scope production AI systems for Gulf mid-market companies — $10,000-50,000 — with acceptance criteria in the SOW, Arabic-first engineering, and a live dashboard that counts the outcomes. Live in 6-12 weeks.
Fixed scope · Acceptance criteria in the contract · Arabic + English evals · PDPL-compliant delivery
What an AI implementation company actually does
An AI implementation company takes an AI use case from idea to a production system running inside a business's real workflow — including integration with existing tools, testing against agreed accuracy thresholds (evals), guardrails, monitoring, and post-launch operations. This differs from AI consulting (advice and roadmaps) and from buying AI SaaS (a generic tool you configure yourself). Nano AI delivers fixed-scope AI implementations for Gulf mid-market companies at $10,000-50,000, in Arabic and English, with acceptance criteria written into the contract.
Why 95% of enterprise AI pilots die
You have probably already been burned: a chatbot that demoed well and got quietly unplugged, a quote with two more zeros than your budget, a freelancer who disappeared after handover. MIT's 2025 study of enterprise AI found the same pattern at scale — 95% of pilots never produce a P&L return. The failure isn't the models. It's what's missing around them: a success metric someone signed, monitoring after the demo, and an owner in month three.
AI implementation services measured by business outcomes
One outcome, always: a production system, in your workflow, passing signed acceptance criteria, with a dashboard, in 6-12 weeks. Here is what that looks like across three common builds.
Customer-operations AI agent
Arabic/English agent across WhatsApp, web, and voice that answers, qualifies, books, and escalates per policy.
Measured by: conversations handled, resolution rate, response time
Back-office & document automation
Extraction, classification, and drafting inside your ERP/CRM workflows (invoices, tenders, reports, claims).
Measured by: hours returned per week, error rate vs. human baseline
Knowledge system on your data
A retrieval-augmented assistant over your documents, policies, and product data — internal or customer-facing.
Measured by: answer accuracy and groundedness vs. a golden question set
The Nano Method: five stages, three artifacts you keep
Assess (1-2 weeks) ends with a signed pilot scope. Pilot (2-6 weeks) builds v1 with Arabic and English evals and guardrail testing. Prove runs 30 days on live traffic and ends with a measured outcomes report — a go/no-go gate. Failing pilots end at day 30, cheaply and on purpose; drift into month six is how the 95% happens. You keep three artifacts regardless: the eval report, dashboard access, and a runbook.
Fixed scope. Published pricing. No day rates.
AI Readiness Sprint ($5,000, 2 weeks) is the entry SKU — 100% credited against implementation signed within 60 days. AI Implementation itself runs $10,000-50,000 fixed-scope depending on integrations count, languages/dialects, and acceptance-criteria ambition, over 6-12 weeks. An Operate retainer ($1,000-3,000/month) is mandatory on every build — monitoring, evals, model updates, SLA. A RAG Chatbot on Your Docs ($3,500, 2 weeks, includes eval report) is the smallest real project for budget-anxious buyers.
Evidence, not adjectives
Before our first published case studies, we show you the artifacts instead: a sample eval report page, a dashboard screenshot with synthetic data (labeled “sample data”), and a runbook table of contents. Any vendor can claim accuracy. We give you a login.
Enterprise AI implementation across your existing stack
Business systems: CRMs (Salesforce, HubSpot, Zoho), the WhatsApp Business API, ERPs, calendars/booking, help desks (Zendesk, Freshdesk, Intercom), e-commerce (Salla, Zid, Shopify), document stores. AI/infra: model providers (Anthropic, OpenAI, Google, Arabic-capable models), RAG pipelines, n8n orchestration (n8n at a $5.2B valuation — enterprise-standard tooling), and regional hosting options for PDPL.
AI implementation company in Saudi Arabia, the UAE, and the Gulf
Saudi Arabia: 2026 declared the Year of AI, $9.1B in AI funding in 2025, PDPL scope, SAR pricing on request. UAE: English procurement norms, DIFC/mainland data considerations. Egypt is our proving ground and delivery hub — delivery centers in Cairo, never “offshore.”
Pricing
Three tiers, one rule: acceptance criteria in the contract, every time.
AI Readiness Sprint
$5,000
fixed, 2 weeks
Entry SKU — 100% credited against implementation signed within 60 days.
AI Implementation
$10,000-50,000
fixed-scope, 6-12 weeks
Production system live in your workflow, passing signed acceptance criteria, with an outcome dashboard.
Operate retainer
$1,000-3,000/mo
mandatory on every build
Monitoring, evals re-run on every model or prompt change, versioned prompts, incident response under a written SLA, monthly report.
If the agreed acceptance criteria are not met at the final milestone, we keep working at no charge until they are, or refund the final milestone (up to 20% of contract).
Frequently asked questions
Industries we serve with this
Start with a scope, not a leap
A 30-minute scoping call leads to a fixed-price quote with acceptance criteria — or start smaller with the $5,000 Readiness Sprint, fully credited toward implementation.