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 — from $4,900 for a Starter build, $10,000–25,000 for standard implementations — with acceptance criteria in the SOW, Arabic-first engineering, and a live dashboard that counts the outcomes. Live in 3-12 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 from $4,900 (Starter build), $10,000–25,000 for standard implementations, and enterprise programs from $25,000 — 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 3-12 weeks depending on tier. 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; Lite version $2,500 in 5 days) is the entry SKU — 100% credited against implementation signed within 60 days. Implementation itself is fixed-scope: from $4,900 for a Starter build (one workflow or one agent, 3-4 weeks, evals and monitoring included); $10,000–25,000 for standard implementations over 6-8 weeks, depending on integrations count, languages/dialects, and acceptance-criteria ambition; enterprise programs from $25,000 for multi-system builds over 8-12 weeks with an SLA. An Operate retainer — from $490/month on Starter builds, $1,000-3,000/month on standard and enterprise — is mandatory on every build: monitoring, evals, model updates, SLA. A RAG Chatbot on Your Docs ($2,400, 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
Four build tiers plus operations, one rule: acceptance criteria in the contract, every time.
Entry SKU — 100% credited against implementation signed within 60 days. A Lite version ($2,500, 5 business days, one use case) is available for a single go/no-go decision.
One workflow or one agent, live in your systems, with evals and monitoring set up from day one. The smallest production implementation we ship.
Production system live in your workflow, passing signed acceptance criteria, with an outcome dashboard.
Multi-system implementation across several workflows or channels, with a written SLA, staged rollout, and acceptance criteria per system.
Monitoring, evals re-run on every model or prompt change, versioned prompts, incident response under a written SLA, monthly report. From $490/mo for Starter builds.
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
Our implementation projects are fixed-scope from $4,900 for a Starter build (one workflow or agent, 3-4 weeks), $10,000–25,000 for standard implementations (6-8 weeks), and from $25,000 for enterprise programs — quoted after a scoping call or an AI Readiness Sprint ($5,000, or $2,500 for the 5-day Lite version, credited 100% against an implementation signed within 60 days). Every build also carries an operations retainer, from $490 per month on Starter builds to $1,000-3,000 per month on standard and enterprise systems, for monitoring, evals, and model updates. You get a price, a scope, and acceptance criteria in the SOW — never an open-ended hourly estimate.
Three to twelve weeks from kickoff to a production system passing its acceptance criteria, depending on tier: Starter builds ship in 3-4 weeks, standard implementations in 6-8, enterprise programs in 8-12. Assess takes 1-2 weeks and ends with a signed pilot scope; Pilot takes 2-6 weeks with Arabic and English evals; Prove runs 30 days on live traffic with a measured outcomes report. Smaller SKUs move faster — a RAG chatbot on your documents ships in two weeks.
Because the three reasons pilots fail — no measurable success definition, no monitoring after the demo, no owner in month three — are each countered in our contract. Acceptance criteria are written into the SOW before we build, a live outcome dashboard runs on every deployment, and an operations retainer maintains evals and models after launch. If the agreed criteria are not met at the final milestone, we keep working at no charge until they are, or refund the final milestone.
Yes — Arabic is our first language, not a translation layer. We build and test with Arabic golden-set evals covering Modern Standard Arabic plus Gulf, Egyptian, and Levantine dialects, and we handle Arabizi code-switching. Every eval report shows accuracy split by language and dialect, so you see how the system performs for your actual customers — not just in an English demo.
Compliance is part of scope, not an add-on. We deploy with regional hosting options so data can stay in-country, implement consent flows, and sign a data processing agreement before touching production data. Our compliance screen covers Saudi PDPL, UAE PDPL, and Egypt's data protection law 151/2020, plus sector-specific rules such as health-data requirements for clinical deployments.
Typical integrations: CRMs (Salesforce, HubSpot, Zoho), the WhatsApp Business API, ERPs and order systems, calendars and booking tools, help desks (Zendesk, Freshdesk, Intercom), e-commerce platforms (Salla, Zid, Shopify), and internal databases or document stores for retrieval-augmented generation. On the AI side we work across model providers — Anthropic, OpenAI, Google, and Arabic-capable models.
No — every build includes an Operate retainer (from $490/month on Starter builds, $1,000-3,000/month on standard and enterprise systems) covering monitoring, evals re-run on every model or prompt change, versioned prompts, incident response under a written SLA, and a monthly report. You keep three artifacts regardless: the eval report, dashboard access, and a runbook documenting what the system does and who to call.
Because with us you sign acceptance criteria before we write code, and the system must pass evals and 30 days on real traffic before it counts as done. Most failed chatbots were demos sold as systems: no evals, no monitoring, no dialect engineering, no owner after 90 days. The Pilot stage red-teams guardrails against a golden question set in Arabic and English; the Prove stage runs 30 days on real traffic and ends with a numbers report. Bring us your failed pilot's post-mortem — the Assess stage finds exactly why it died.
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 Readiness Sprint ($2,500 Lite or $5,000 full), fully credited toward implementation.
- Free Scoping Call
- Fixed Scope & Quote
- Zero Commitment