Teams drowning in repetitive work
Manual data entry, report compilation, copy-paste between systems. Your best people spend 40% of their time on tasks a machine should handle.
Avg. finding: 15-30 hrs/week recoverable
AI systems designed around your operations.
Every business runs differently. That’s why we don’t sell pre-packaged AI solutions. We audit your operations, find the highest-impact opportunities, and build exactly what moves your numbers.
The audit defines the scope. Not a product menu.
Most AI agencies start with a catalogue of products and try to fit your business into one. We start with a structured audit of your operations, data, and team - then design the right combination of AI systems for your specific reality.
Some clients need one capability. Others need five. The point: you don’t choose from a menu. The audit tells us what will actually move the needle.
The problems hiding in your operations.
Patterns we see in every audit. Most companies know something is off - they just don’t know how much it’s costing them.
Decisions made on outdated information
Monthly spreadsheets driving daily decisions. By the time data reaches leadership, the opportunity has passed or the problem has grown.
Avg. finding: 2-4 week decision lag
Revenue leaking through the cracks
Unanswered leads, slow response times, inconsistent follow-ups. Customer-facing processes that lose money every day they stay manual.
Avg. finding: €20K-€100K/year missed
Systems that don’t talk to each other
CRM says one thing, ERP says another, and someone in ops is manually reconciling them every Friday. Disconnected systems create disconnected decisions.
Avg. finding: 3-5 data silos per company
Scaling means scaling headcount
Growth shouldn’t require hiring proportionally. Without AI automation, every new client, order, or ticket needs another pair of hands.
Avg. finding: 2-3x capacity unlockable
Failed AI projects in the past
You tried AI before - a chatbot, a PoC that never made it to production, a vendor that oversold. The problem wasn’t AI. It was scope.
Avg. finding: wrong problem, right tech
What a typical audit uncovers
3-5automation opportunities / department
€20K+annual value recoverable, first project
40%team time on automatable tasks
2-4 wkfrom audit to first deployed system
Real implementations. Real outcomes.
Not a product showcase - three examples of what audit-first AI looks like when deployed in real businesses.
↑ 60-70% resolved without a human
Veterinary · Brand-voice chatbot
Biscoito.ai - a website assistant with the personality of the clinic’s dog
A veterinary clinic had warmth in person but a cold website outside opening hours. The audit found two-thirds of the week had no customer-facing channel at all - and most inbound calls were the same handful of questions the site could already answer.
- Resolves 60-70% of routine questions with no human involvement
- Always-on - 24/7 vs. the previous five service hours a day
- Detects emergencies and drops the playful tone instantly
- Hard safety rails: never diagnoses, never invents, always defers to the vet
↑ Hours of manual messaging → one click
Education · Full-stack platform
WA Center - a custom WhatsApp communication platform for a school
A Portuguese education institution was sending parent updates by hand - one message, one class, one staff member at a time - with contacts scattered across spreadsheets and no delivery visibility. The audit showed the bottleneck was the process, not the people.
- Broadcast to entire class groups from pre-approved templates
- Real-time delivery tracking - sent, delivered, read, or failed
- Role-based access so coordinators send without an admin
- 14+ data models, 100% custom-built and owned by the client
↑ Reactive monitoring → proactive alerts
Legal · Automated monitoring
LexAlert - legislative monitoring that stays silent until it matters
A business-first law firm tracked legislative change by hand, with senior lawyers spending hours triaging noise. The audit’s call: a calibrated pipeline that polls the PGD Lisboa consolidated-law database, filters by practice area, and emails only what’s worth opening.
- Polls the PGD Lisboa consolidated-law database every three hours
- Filters each entry against five practice areas before alerting
- Flags critical-decree amendments with priority routing
- Deduplication memory - the same change never alerts twice
“When gamgi proposed a chatbot with the personality of a dog, I was curious but cautious - we didn’t want anything unprofessional. The result surprised us. It’s fun without ever compromising the seriousness of our work, and clients now reach us with the right information, ready to book. Fewer repetitive calls, more time for what really matters.”
Your stack stays. We build around it.
We don’t ask you to replace what’s working. Every solution integrates with your existing infrastructure - CRMs, ERPs, databases, communication tools.
CRM & Sales
Salesforce, HubSpot, Pipedrive, and custom CRMs. Your data stays where it is.
ERP & Operations
SAP, Oracle, Odoo, and industry-specific platforms. We connect, not replace.
Cloud & Data
AWS, Azure, GCP, or on-premise. We work with your infrastructure decisions.
No lock-in
Everything we build, you own. Full code handover included.
Live in weeks
First system deployed within 2-4 weeks of audit completion.
Ongoing support
We don’t disappear after launch. Monitoring, iteration, and scale-up included.
The toolchain behind the work.
We pick the best tool for your problem, not the one we’re locked into. Every name below is something we’d reach for in a real project - grouped by the job it does, not the vendor who sells it.
5 tools
Foundation models
We pick the model per task, not per vendor. Reasoning, latency, language coverage, and where the data is allowed to live all decide which one ships.
Anthropic Claude
Drives reasoning and agentic work across most builds.
OpenAI GPT-4o · o-series
Handles multimodal input, realtime voice, and fallback reasoning.
Google Gemini
Runs long-context jobs and serves Workspace-resident clients.
Mistral
Hosts inference in the EU when data residency forces it.
Meta Llama 3
Runs self-hosted when zero external calls is a requirement.
5 tools
Agent + orchestration
Agents earn their keep when a workflow has real branching, tool calls, and recovery. These are the runtimes we trust to ship that, not demo it.
Claude Agent SDK
Ships production agents on the Anthropic runtime.
OpenAI Agents SDK
Builds Assistants and Responses workflows on OpenAI infra.
LangGraph
Orchestrates stateful multi-step agent topologies.
Vercel AI SDK
Streams agent UI behind a model-agnostic surface.
LiteLLM
Routes provider calls through one auth surface when clients need it.
4 tools
Automation platforms
Not every workflow needs a model. When the job is "move this from A to B reliably", we pick the platform the team can own after handover.
n8n
Runs workflows self-hosted inside client environments.
Zapier
Connects SaaS-first stacks fastest.
Make
Builds visual scenarios ops teams can own after handover.
Pipedream
Runs code-first when steps need real Node.
4 tools
Retrieval + memory
Most "we need RAG" briefs end with pgvector and a tighter schema. A dedicated vector store earns its place only when scale or recall demands it.
pgvector
Powers vector search inside Postgres when it’s already in the stack.
Qdrant
Self-hosts a vector DB at volume.
Supabase
Bundles Postgres, auth, and storage for fast spikes.
Pinecone
Manages vector search when ops can’t take on infra.
6 tools
Frontend + apps
AI surfaces are still products. Streaming UIs, server components, real keyboard accessibility - the stack we use on our own work is the one you get.
Next.js
Powers marketing and product surfaces via App Router.
React 19
Renders Server Components as the default.
TypeScript
Types every repo strictly, including infra.
Tailwind CSS
Styles utility-first when clients prefer it.
shadcn/ui
Composes UI from primitives instead of heavyweight libs.
React Native
Ships mobile via Expo when the brief fits.
5 tools
Backend + data
Boring is a feature. Postgres for the system of record, typed SQL for the queries, edge handlers where latency moves the conversion.
Node.js
Runs the services, workers, and edge handlers.
Hono
Serves edge-friendly routes when latency matters.
Postgres
Holds the system of record for every project.
Drizzle
Types the SQL layer without ORM ceremony.
Redis
Backs queues, caches, and rate limits.
6 tools
Infrastructure
EU compute by default, serverless when it earns its keep. Whatever ships, you get the keys - no vendor we use is a place we can’t hand over.
Dokploy
Self-hosts a PaaS on Hetzner for client deploys.
Hetzner
Hosts EU compute when sovereignty matters.
Cloudflare
Fronts the edge with DNS, WAF, R2, and Workers.
Vercel
Hosts Next.js when serverless beats self-host.
Docker
Containerises every deploy.
GitHub Actions
Runs CI for every repo, including this one.
5 tools
Observability + ops
A system you can’t see is a system that fails quietly. Errors, uptime, analytics, and the loop that turns incidents into fixes are wired in from day one.
Sentry
Catches errors across web, workers, and edge.
Plausible
Captures analytics without cookies or third-party scripts.
BetterStack
Monitors uptime and aggregates logs.
Resend
Sends transactional email with deliverability we can audit.
Linear
Tracks issues wired into the engineering loop.
Every line we ship, you own - full code handover, no lock-in.