AISD is an AI-native software development company that builds production AI for mid-market and enterprise teams. Three core services: AI Modernization (embedding AI into existing products — copilots, intelligent search, predictive analytics), AI Agents (autonomous workflows for support, document processing, sales outreach), and AI Workflow Automation (n8n, Zapier, Make, Clay).

How is AISD different from a typical software development agency?

Three differences. First, every AISD engineer is senior — minimum 5 years building production software, with shipped AI features. Second, we publish hourly engagement bands and project ranges so you know roughly what an engagement costs before the first call. Third, we take fewer concurrent projects so a partner stays close to delivery.

How long does it take to build an AI MVP?

Most AI MVPs at AISD ship a usable version in 4–8 weeks. Week 1 is a discovery sprint. Weeks 2–6 are the build, with weekly demos and a working version by week 4. Weeks 7–8 harden, document, and hand off.

What does an AI MVP cost?

AISD AI MVPs typically range $45,000–$120,000 depending on scope. Drivers: number of model integrations, complexity of retrieval/data layer, custom UI surface area, and compliance requirements. We publish indicative bands on the pricing page so buyers can budget before the first call.

How do you ensure AI features are reliable in production?

Five layers: an offline eval harness with golden test sets run on every PR; confidence thresholds and structured-output validation that gate downstream side effects; runtime observability — every model call logged with inputs, outputs, latency, cost; circuit breakers and deterministic fallbacks for every model dependency; and a weekly review ritual where prompt regressions get caught before they become incidents.

How long does it take to build a production AI agent?

Working prototype: 2 weeks. Production-grade agent (with eval harness, guardrails, observability, and a runbook): 6–10 weeks. The prototype-to-production gap is where most projects fail — the prototype handles the happy path; production has to handle the long tail.

What does it cost to build an AI agent?

A production AI agent at AISD typically costs $40,000–$150,000 depending on complexity. Drivers: number of integrated systems, evaluation rigor required, compliance overhead, and ongoing operational scope. Prototypes alone are cheaper ($10k–$25k) but rarely worth it without a path to production.

How does pricing work — fixed-price, T&M, or retainer?

All three. Fixed-price for AI MVPs and agent builds where scope is well-defined after a discovery sprint. Time-and-materials for staff augmentation, billed monthly with a not-to-exceed ceiling. Retainer for ongoing optimization, eval-harness operations, and managed AI services — flat monthly fee for a defined scope of capacity.

Case study · Supply chain

70% faster order processing. $340K saved annually.

A mid-market US logistics company was drowning in manual processes. We deployed n8n workflow automation across the entire order lifecycle. The numbers speak for themselves.

Industry: Supply chain / logistics
Region: United States
Size: 200+ employees
Stack: n8n on AWS
Engagement: 8 weeks build + retainer

Results

Numbers that speak.

70%

Reduction in order processing time

Manual data-entry errors per month

$340K

Annual cost savings

12 hrs

Employee time freed per day

The challenge

Manual chaos was costing them millions.

01
Order intake was entirely manual. Staff re-keyed data from emails and PDFs into three separate systems, averaging 22 minutes per order.
02
ERP, CRM, and warehouse management platforms operated as data silos with no real-time sync, causing frequent stock discrepancies.
03
Shipment status updates relied on daily batch emails, leaving customers in the dark and support teams overwhelmed with 'where's my order?' calls.
04
Month-end reconciliation consumed 4 full days of finance team effort due to inconsistent data across platforms.

The solution

Four n8n workflows that changed everything.

Automated order intake → ERP

Incoming orders from email, EDI, and web forms are parsed by n8n, validated against business rules, and pushed directly into the ERP. Manual data entry eliminated.

Real-time inventory sync + alerts

n8n continuously syncs inventory between WMS and ERP. When stock drops below threshold, automated alerts fire to procurement via Slack and email.

Shipment tracking → customer notifications

Carrier tracking updates trigger n8n workflows that send real-time SMS and email notifications. Cut support tickets 60%.

Cross-platform reconciliation

Nightly n8n workflows reconcile data across systems, flag discrepancies, and generate exception reports. Month-end close: 4 days → 4 hours.

"We went from spending half our day re-typing orders into spreadsheets to a fully automated pipeline that just works."

Sarah Mitchell

VP of Operations, NovaTrans Logistics

Related service

AI workflow automation services →

We build production-grade workflow automation with n8n, Zapier, Make, and Clay. From $5,000.