EMBED
AI Modernization
Embed AI into your existing product — copilots, intelligent search, predictive analytics, process automation.
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AUTONOMOUS
AI Agents
Autonomous workflows for customer support, document processing, sales outreach, voice, and internal ops.
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AUTOMATE
AI Workflow Automation
n8n, Zapier, Make, Clay. Engineering-grade automation that handles real production volume.
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Featured case study · Healthcare
Clinical document agent reduced doctor documentation time by 47%.
We built a HIPAA-aligned AI agent that processes clinical encounters into structured documentation. 40-bed regional hospital, 6-week build, sub-3-second response time.
Read the full case study →How we engage
Three engagement models. Every one has a public starting price.
AI MVP
Idea → production in 4–8 weeks. Fixed scope, fixed price.
FROM
$45,000
typical: 4–8 weeks
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Staff Augmentation
Senior AI engineers embedded into your team. Ship code from day 1.
FROM
$95/hr
typical: 3–9 months
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Legacy Modernization
Monoliths to modern stacks, AI-accelerated refactors, compliance-ready.
FROM
$80,000
typical: 12–36 weeks
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How we work
The AISD Build Loop.
01
Scope tight
Domain interview, success metrics, throwaway prototype gate.
02
Pattern-pick
RAG, fine-tune, agentic, or deterministic workflow — chosen for the actual problem.
03
Build fast
Senior engineers using AI tooling from day 1, weekly demos.
04
Secure by default
Prompt-injection defense, PII rules, cost caps, eval harness in CI.
05
Hand off
Runbook, observability, on-call SLA, 30-day support.
01
Scope tight
Domain interview, success metrics, throwaway prototype gate.
02
Pattern-pick
RAG, fine-tune, agentic, or deterministic workflow — chosen for the actual problem.
03
Build fast
Senior engineers using AI tooling from day 1, weekly demos.
04
Secure by default
Prompt-injection defense, PII rules, cost caps, eval harness in CI.
05
Hand off
Runbook, observability, on-call SLA, 30-day support.
Frequently asked
Common questions.
What does AISD do?
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.