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 · Fintech

60% less cost, 2× faster. Fintech MVP shipped in 8 weeks.

A London-based fintech startup needed an MVP fast. Traditional agencies quoted $150–200K and 6–8 months. We delivered for $80K in half the time, with production-grade architecture.

Industry: Fintech / financial services
Location: London, UK
Budget: $80K (was $150–200K quoted)
Timeline: 8 weeks (vs 6–8 months)
Stack: React · Cursor · Lovable · Supabase

Results

Numbers that speak.

60%

Budget reduction vs. original quote

2×

Faster delivery than traditional

3×

Dev velocity with AI-paired engineering

$70–120K

Savings reinvested in growth

The pipeline

Discovery → launch in 8 weeks.

01 · Week 1
Discovery
Scope, success metrics, throwaway prototype on the riskiest assumption.
02 · Weeks 2–3
AI prototype
AI-paired engineering for the riskiest user flows. Architecture validated on real data.
03 · Weeks 4–6
Core build
Payments, analytics dashboard, admin console, compliance layer. Senior engineers, daily updates.
04 · Week 7
Compliance
Audit logging, role-based access, regulatory checks. Production-grade or it doesn't ship.
05 · Week 8
Launch
Production deploy, observability, runbook, 30-day support window.

What was built

Core fintech capabilities.

Payment processing

Secure transaction handling with real-time status tracking.

Analytics dashboard

Interactive charts for revenue, user growth, and KPIs.

Admin console

Full-featured management panel with role-based access.

Compliance layer

Built-in regulatory checks and audit logging.

"We were quoted $200K and 8 months by two agencies. AISD delivered a better product for $80K in under 3 months. The AI-assisted approach isn't just faster — it's fundamentally better economics for startups."

Founding team

London-based fintech startup

Related service

AI MVP development →

Production AI MVPs in 4–8 weeks. Fixed scope, fixed price, full IP transfer. From $45,000.

60% less cost, 2× faster. Fintech MVP shipped in 8 weeks.

Numbers that speak.

Discovery → launch in 8 weeks.

Discovery

AI prototype

Core build

Compliance

Launch

Core fintech capabilities.

Payment processing

Analytics dashboard

Admin console

Compliance layer

Building a fintech MVP?