AI Automation Consulting

Automate your company with AI. Reclaim 40% of your team's time in 30 days.

We design AI agents and automation systems that run your critical processes — without hiring more people, without migrating your stack, with measurable ROI.

Book a Discovery Call (free)See packages & pricing

30 min · No commitment · You'll leave with 2 ideas you can apply tomorrow

1 week

Automation Audit

21 days

One size S workflow live

$1,500

Audit, credited to your Sprint

24/7

Operation without breaks

The problem

Your team doesn't need to work more. They need to work on what matters.

Hours lost

Repetitive tasks consume 40% of your team's time.

Scattered information

Knowledge lives in 10 different tools and no one can find it.

Can't scale

Growth means hiring more people — and doubling operational costs.

Our solution

One ladder, six steps. One goal: measurable results.

Entry point

Automation Audit

Problem: You know manual work is bleeding hours, but not which process to automate first.

Outcome: A map of 5–10 automations prioritized by ROI, business case and the architecture of the first workflow. One week.

$1,500 · 100% creditedLet's talk

Build

Automation Sprint

Problem: A critical workflow still runs on copy-paste, spreadsheets and follow-up emails.

Outcome: One workflow live in production (n8n / Make / API) with error handling, monitoring, docs and 30 days of support.

from $7,500 for a size S workflow · 21 daysLet's talk

Retainer

AI Ops · Monitor

Problem: Automations break silently when APIs, schemas or vendors change.

Outcome: Monitoring, fixes and small changes on your live workflows. Up to 2 h/month, first workflow included.

from $850/moLet's talk

Retainer

AI Ops · Grow

Problem: One workflow works and the next three are still on the backlog.

Outcome: Up to 4 h/month of improvement work plus one shipped improvement each month. Maximum 4 active accounts.

from $1,500/moLet's talk

Privacy-first AI

Private-AI Setup

Problem: Sensitive data (legal, health, finance, industrial) that shouldn't leave your infrastructure.

Outcome: A private, self-hosted AI stack running on your own hardware, with models, retrieval and access control configured.

$5,000 remote · $7,500 on-site (Bay Area)Let's talk

Multi-agent systems

Agent Pipeline

Problem: Workflows too complex for a single agent: they need coordination, specialization and human review.

Outcome: A phased multi-agent pipeline with gates between phases, evaluation harness and human-in-the-loop checkpoints.

from $20,000 · phasedLet's talk

How we work

From idea to first flow in production in 3 weeks.

Discovery

30-min call to understand your operation, data and goals.

Automation Audit

One week. Opportunity map prioritized by ROI, business case and first architecture.

Automation Sprint

21 days. One workflow live in production with monitoring, docs and handoff.

AI Ops

Monthly monitoring and iteration once the workflow is running.

Transparent pricing

Choose the pace of your transformation.

No surprises. No hourly billing. Results by contract.

Automation Audit

The wedge · one week

Starting from$1,500

You want to know what to automate first

5–10 automations prioritized by ROI
Business case with hours and cost saved
Architecture of the first workflow
Fee credited 100% to the Sprint (30 days)

Book the Audit

Automation Sprint

One workflow in production · size S · 21 days

Starting from$7,500

You know the process — you need it shipped

1 workflow live (n8n / Make / API)
Error handling and monitoring
Documentation and team handoff
30 days of support · −$1,500 if you came from the Audit

Start a Sprint

AI Ops

Keep it running and growing

Starting from$850/mo

You already have workflows in production

Monitor · from $850/mo, first workflow, up to 2 h
Grow · from $1,500/mo, up to 4 h + 1 improvement
Priority on breakages
Post-Sprint only · max 4 accounts

Talk about AI Ops

Entry point

Discovery Call

30 min with a senior consultant. You'll leave with 2 concrete opportunities to apply in your company.

FreeBook

Before you implement

Automation Audit

One week. 5–10 automations prioritized by ROI, business case and the architecture of the first workflow. Credited 100% to your Sprint within 30 days.

$1,500Request

AI Operations · Monthly retainers

AI Ops · Monitor

from $850/mo

Monitoring and fixes on live workflows, first workflow included. Each additional S or M workflow adds $350/mo, each additional L workflow adds $600/mo. Up to 2 h/month. Post-Sprint only.

AI Ops · Grow

from $1,500/mo

Up to 4 h/month plus one shipped improvement, first workflow included. Each additional S or M workflow adds $600/mo, each additional L workflow adds $900/mo. XL systems run on Grow from $2,250/mo. Maximum 4 active accounts.

Consulting Hour

$375/hr

60-minute minimum. Overflow questions outside an active engagement.

Ship guarantee

The Automation Sprint is scoped to one workflow live in 21 days. If it isn't in production by then, we refund that phase.

Case studies

Agentic AI with a human in the loop.

Three real automation implementations with AI agents, team augmentation and human validation before production. Details anonymized to protect our clients' IP.

How we run the pipeline

Human augmentation + specialized agents, with mandatory validation before production.

Every ticket flows through an orchestrated pipeline where multiple agents (NBX Agent, Claude, Codex, Lovable) collaborate with human developers across clearly delimited stages: spec, build, QA and approval. Agents handle the repetitive, high-volume work — generating code, opening PRs, reviewing UI, running tests — while humans keep judgment: they prioritize, validate design, approve quality and authorize the merge to production.

The “QA Approved” state is a transition controlled by people, not by agents. That's how we combine AI speed with human accountability: real augmentation, not replacement, with a traceable record of who did what — Human, NBX Agent, Lovable or Claude — on every commit.

Agents execute, humans decide
State transitions blocked until human approval
Per-commit traceability (human vs agent author)

Agentic pipeline with human in the loop: commits from NBX Agent, Lovable, Claude and human reviewers, with QA Approved state before merge

Wellness Tech · Scaleup

Multi-agent Spec → Build → Audit pipeline

Context. Distributed team with junior and senior developers. Vague tickets caused failed builds, UI regressions and lost days of work.

Solution. Agentic orchestrator (Claude Code) + specialized implementer (Codex) + design/conversion reviewer (Gemini), running on a Mac Mini fleet with MCP into Linear, Notion and GitHub.

Human in the loop. Mandatory human approval as a Linear state transition before any merge to production.

−30% wasted agent runs due to incomplete prompts
1–2 h/day reclaimed from manual UX walk-throughs
Faster onboarding for new developers

Multi-AgentMCPHuman-in-the-loop

AI Coding Ops · B2B

Prompt Wizard for coding agents

Context. Remote teams with little experience using AI coding agents. Incomplete prompts caused failed features, extra debugging and constant supervision.

Solution. An AI agent that analyzes every feature request, detects gaps (platform, APIs, acceptance criteria, edge cases), asks dynamic questions and delivers a structured prompt ready to execute.

Human in the loop. The developer validates and edits the enriched prompt before handing it to the coding agent. Every run is logged for evaluation.

Higher first-try build success rate
Less rework and less reliance on senior engineering
Quality telemetry per model and per developer

AI AugmentationEval HarnessLinear + Notion

Wellness · Personalization at scale

AI-assisted wellness content generation

Context. Manual creation of meditations and multilingual audio capped per-user personalization at scale.

Solution. Pipeline that crosses onboarding data (goals, language, emotional profile) with generative models to produce scripts, adaptive audio and multilingual variants.

Human in the loop. Human editorial curation on every generated batch before publishing — AI proposes, the wellness team approves.

Content output multiplied without growing the team
1-to-1 personalization viable at scale
Multilingual catalog in weeks, not months

GenAIPersonalizationHuman curation

* Anonymized cases. We never disclose code, client data or proprietary architectures without prior agreement.

Sectors we work with

Professional servicesB2B SaaSeCommerceIndustryLegalHealthFinanceReal EstateEducationLogistics

Frequently asked questions

What clients ask us before we start.

Is my data safe?

Yes. We default to privacy-first design and offer fully private deployments (on-prem or your own cloud) when data is sensitive.

Will AI replace my employees?

No. It frees your team from repetitive work so they can focus on strategy. Our clients grow without hiring more people.

Does it work with my current stack?

Yes. We're stack-agnostic: we integrate with your CRM, ERP, helpdesk, storage and internal tools via APIs and native connectors.

What if the sprint doesn't ship?

The Automation Sprint is scoped to one workflow in 21 days. If it isn't live in production by then, we refund that phase.

Why is the Audit paid?

Because it produces real work: a prioritized map, a business case and an architecture. The full $1,500 is credited to your Sprint if you start within 30 days.

How long until I see ROI?

Typically 30 to 60 days from kickoff. We measure it with you from week 1.

Let's talk for 30 minutes.

You'll leave with 2 concrete ideas you can apply in your company tomorrow. No commitment.

Book a Discovery Call

Free · 30 min · Availability this week