Practical AI that pays for itself — not a demo that dazzles then dies.
Lead qualification, content ops, support triage, internal copilots. Shipped to production, measured against real business metrics.
AI automation services build production-grade AI workflows — lead qualification, content ops, support triage, internal copilots — with evaluations, observability, and human-in-the-loop review baked in. The engineering discipline is what separates working AI systems from impressive demos that fail in production.
- 01Production AI is 20% model, 80% evals + observability + fallback design.
- 02Human-in-the-loop is a feature, not a workaround.
- 03Model-tiered routing keeps token spend predictable at scale.
The gap between an impressive AI demo and an AI system that reliably runs in production is enormous. We spend most of our AI budget on that gap: prompts, evals, guardrails, observability, human-in-the-loop review, and the plumbing that keeps a model useful when the traffic is real.
Every AI automation we build ships with a measurement plan. If it doesn’t save operator time or lift revenue, it’s not shipped — full stop.
Typical projects: qualifying inbound leads before they hit sales, drafting outbound emails from CRM context, triaging support tickets, generating case studies from Slack + Notion sources, and internal copilots that answer employee questions from your own docs.
What breaks without a specialist.
Demos that don’t survive real data
Prompts that look great on curated examples fail on the messy long tail of production input.
No visibility into what the model actually does
Without eval sets and observability, silent regressions cost more than the automation saves.
Runaway token costs
Naive implementations burn through OpenAI credits on tasks a cheaper model would have handled.
No fallback when the model is wrong
AI outputs need human-in-the-loop review paths, escalation rules, and rollback strategies.
The approach.
Prompt + eval pipeline
Every prompt has a labeled eval set. Regressions are caught in CI, not by users.
Model-tiered routing
Cheap models for simple tasks, premium models for hard ones — routed automatically to keep costs predictable.
Human-in-the-loop workflows
Confidence thresholds route uncertain cases to a human. Time-to-review is a first-class SLO.
Observability
Every call is logged with input, output, tokens, latency, and business outcome. You see what the AI is doing.
Features included.
Lead qualification bots
Score, enrich, and route inbound leads. Sales gets a summary; unqualified leads get a polite ‘not now’ email.
Content generation ops
Blog drafts, meta descriptions, and social variants generated from a brief with your voice guidelines.
Support triage & drafting
Auto-categorize tickets, draft replies for agent approval, and surface the most similar historical case.
Internal copilots (RAG)
Retrieval-augmented Q&A over your Notion, Google Drive, or intranet — with citations.
Voice & phone AI
AI receptionists that book appointments, transcribe calls, and file the CRM record.
Compliance guardrails
PII redaction, tenant isolation, audit logs, and configurable content filters.
What changes for you.
Time back for humans
The average automation we ship removes 5–20 hours of manual work per week per operator.
Faster response times
Support triage cuts first-response time by 60–80% while keeping escalation quality high.
Higher qualified-lead rate to sales
AI-qualified pipelines convert 2–3× better than raw inbound.
Predictable AI spend
Model-tiered routing and caching keep token bills flat as usage grows.
Our process.
Discovery workshop
A 60-minute working session with your team to map goals, constraints, competitors, and success metrics. You leave with a written scope and a fixed price — no estimates, no surprises.
Strategy & architecture
We produce an information architecture, content plan, and technical blueprint. Every screen and endpoint is documented before a line of code is written.
Design in the browser
High-fidelity design happens inside the real product, not in Figma. You review clickable states, not static screens — which is why our sign-off cycles are 3× faster than agencies.
Build & integrate
Engineering happens in weekly milestones. You get a staging URL from day one, so you can watch the product take shape rather than wait for a big-bang reveal.
Launch & measure
We ship, monitor Core Web Vitals for 14 days, and hand over a written performance report. Analytics, tracking, and conversion goals are wired in before launch — not after.
Grow
Optional monthly retainer for iteration, experiments, and SEO. You own the code either way — no lock-in, no dark patterns.
Stack we ship on.
Where we work.
- SaaS & B2B software
- Ecommerce & DTC
- Healthcare & wellness
- Financial services
- Real estate
- Education & edtech
- Manufacturing
- Professional services
Answers.
How is AI automation different from Zapier or Make?+
Zapier connects deterministic steps. AI automation lets non-deterministic reasoning — reading, summarizing, deciding — sit inside a workflow, with guardrails so the outcome is still reliable.
What if the AI makes a mistake?+
Every workflow includes confidence thresholds. Below the threshold, work is routed to a human. Above the threshold, decisions are still logged so you can audit them later.
Can we host the AI ourselves?+
Yes. We support open models via Ollama, vLLM, or Together AI when data residency or cost demands it.
How do you keep token costs under control?+
Model-tiered routing, response caching, prompt compression, and eval-driven model selection. We publish a monthly cost report against ROI.
“The lead-qualification bot took a job that used to consume 25 hours per week of a BDR’s time and reduced it to review-only.”
Related services.
Custom CRM
Purpose-built pipelines, automation, and dashboards. One-time build, unlimited seats, complete ownership.
WhatsApp Automation
Lead capture, drip campaigns, order updates, and support triage on the WhatsApp Business API — with the compliance rails Meta requires.
API Integrations
Idempotent, retry-safe, observable integrations across your CRM, ERP, payments, and comms — engineered for the messy real world, not the happy path.
Ready to build?
Book a 20-minute call. We’ll scope the project, quote a fixed price, and tell you honestly whether we’re the right team.
Start a project →