SmartDuke builds ai agents for SaaS companies — systems that autonomously complete multi-step workflows that previously required human orchestration. Every SaaS shipped an 'AI feature' in 2025. The durable ones are now investing in production-grade infrastructure to keep them shipping. Our approach: Eval coverage on every loop, observability into every tool call, and explicit guardrails around action surfaces before the agent ever touches production.
The problems
we keep solving.
Every SaaS shipped an 'AI feature' in 2025. The durable ones are now investing in production-grade infrastructure to keep them shipping.
Onboarding scales poorly with headcount
Customer onboarding is a per-account workflow that doesn't compound — every new customer requires roughly the same human time.
Support ticket volume fragments across surfaces
Tier 1 tickets eat up engineering time; Tier 2 routing is opaque; customer-facing visibility is poor.
Power users want automation but admin tools are clunky
The customers most likely to expand are blocked by manual workflows your roadmap never prioritizes.
Three things we'd build
first.
Concrete starting points for ai agents in SaaS companies. We pick the one with the highest leverage and the cleanest measurement story.
- Idea 01
Onboarding agent that walks new accounts through setup, surfacing relevant features based on use case
- Idea 02
Support agent that resolves Tier 1 tickets and intelligently escalates the rest with full context
- Idea 03
Reporting agent that generates weekly exec dashboards and answers ad-hoc questions over the data
Production-grade,
from day one.
We use planner-executor, ReAct, or supervisor-worker loops depending on the problem shape — and resist multi-agent orchestration when a single-agent loop solves it.
Evals before launch.
Every loop, tool call, and structured output is graded with a frozen test set and an explicit rubric. Failed evals block the deploy.
Telemetry from day one.
Traces, latency budgets, token costs, and error rates wired up before the first user touches the system.
Guardrails as architecture.
Input validation, output verification, escape hatches, and human handoff paths designed in — not bolted on after incidents.
Boring stack on the edges.
Cutting-edge model in the middle. Reliable infrastructure around it. Stability where it earns its place.
- ×Runaway loops on ambiguous inputs
- ×Tool-call failures invisible to standard APM
- ×Context truncation as conversations grow
- ×Hallucinated actions when grounding is weak
Common questions.
01How long does it take to build ai agents for SaaS?
How long does it take to build ai agents for SaaS?
Discovery is one week. A working prototype (Spark) is 2–3 weeks. Full production Build for SaaS companies typically runs 8–12 weeks depending on data complexity, integrations, and compliance scope. We commit to a precise timeline at quote stage.
02What does pricing for ai agents typically look like?
What does pricing for ai agents typically look like?
Every engagement is scoped to outcomes, not hours. Discovery starts in the low four figures. Spark and Build are priced per project. Embed retainers are monthly. We return a quote within 24 hours of inquiry.
03Can you take over an existing agents project that's stalled?
Can you take over an existing agents project that's stalled?
Yes — it's a common engagement. We review what's there, tell you honestly what stays and what we'd rebuild, then ship it to production. SaaS engagements often start this way.
04What's different about your approach to ai agents?
What's different about your approach to ai agents?
Eval coverage on every loop, observability into every tool call, and explicit guardrails around action surfaces before the agent ever touches production. We hold the same engineering bar across every engagement, regardless of industry — but the specifics for SaaS companies are tuned to your trends and pain points.
Same capability, different industry.
Same industry, different capability.
Have an AI product
that needs to ship?
Tell us where you are — early concept, broken prototype, or scaling something that already works. We'll come back within 24 hours with a take and a quote.