Production AI engineering · Mallorca

AI systems, engineered for production.
Not pilots. Not slideware.

We design, build, and operate multi-agent AI systems — RAG pipelines, eval gates, observability, and rollback — wired into your stack and accountable to real metrics. Mid-market teams, in production from day one.

Multi-agent/ RAG/ Evals/ Observability/ CI · Rollback

You've invested in AI — but nothing changed.

Tools collected dust. Pilots ran out of steam. ROI is still a question mark.

Most AI initiatives fail not because of technology — but because they're never operationalized.

That's where we come in.

We Don't Run Pilots. We Deploy Systems.

We decide what's worth building. We build it properly. We make sure your team uses it.

No half-built prototypes. No projects that stall without outcomes. Just deployed systems that improve operations.

Reduced reporting time by 42% · Automated 65% of inbound triage · Decreased manual processing costs by 30%
Book a technical call
How we build

Engineering discipline, not prompt-and-pray.

Every system we ship is held to the production bar we'd demand of our own infrastructure — measured, observable, and reversible. This is what separates a demo from something your team can actually depend on.

Eval gates

Eval-driven deployment

Every release runs against a versioned eval set. If quality regresses, it doesn't ship — full stop.

Observability

Traced end to end

Every agent step, tool call, and token is logged and dashboarded — so you see what the system actually did.

Canary · Rollback

Safe to change

Changes roll out behind canaries with one-command rollback. No silent breakage in production.

Retrieval

Grounded in your data

RAG pipelines wired to your sources, evaluated on retrieval quality — not just the model's output.

Orchestration

Multi-agent by design

Composable agents with explicit control flow, guardrails, and human-in-the-loop gates where it matters.

Cost · Latency

Accountable to metrics

We trace cost and latency per request and tune to the budget and SLAs you actually operate under.

The stack we build on

Production-grade and boring on purpose — the same building blocks behind every system we ship. No exotic dependencies, no lock-in.

Python FastAPI PostgreSQL pgvector Redis LangChain Claude OpenAI Docker Cloudflare Prometheus Sentry
Case study · In production

A complete AI operations platform — built, shipped, and running.

For a stone-fabrication firm in Mallorca, we replaced fragmented, manual operations with a custom ERP + CRM and Llewra — an agentic AI layer that runs quoting, customer service, and back-office automation end to end, with quality monitoring and human oversight built in.

Custom ERP & CRM

One system of record for jobs, customers, suppliers, and scheduling — replacing scattered spreadsheets and inboxes.

Llewra — agentic AI layer

An agent that reads requests, retrieves live data, and acts across the ERP — the intelligence on top of the system of record.

Auto-quoting · price-guard

Priced quotes generated from measurements + the live catalog, with a fails-closed price-guard and human sign-off before anything goes out.

Agentic AI service desk

Inbound customer and ops requests handled agentically around the clock, escalating to a human when it should.

Automations

Supplier-data sync, backups, notifications, and scheduling — running unattended in the background.

Skill & quality monitoring

Every agent skill is measured; quality regressions are caught before they ever reach a customer.

Quoting is faster and more consistent, inbound requests are triaged automatically around the clock, and routine back-office work runs unattended — all under continuous quality monitoring with a human in the loop where it counts.

Eval gates/ Fails-closed/ Human-in-loop/ Live in production

Everything we do comes down to three things:

AI Systems Live At

Companies running AI solutions built by LF Labs

P&Y Consulting
Coertze & Clacher
Marmolería Bautista
Zissou Gardens
P&Y Consulting
Coertze & Clacher
Marmolería Bautista
Zissou Gardens
LF Labs AI agency icon — custom AI solutions

Why LF Labs?

Strategic + Technical Depth - we bridge executive strategy and hands-on AI engineering.

Outcome-Obsessed - every engagement is tied to measurable operational improvement.

Production First - if it can't scale, integrate, and perform reliably, we don't ship it.

Capability Transfer - we ensure your team owns the systems long-term.

Don't just take our word for it

"LF Labs mapped our operations end-to-end, identified our biggest process bottlenecks, and implemented AI workflows that reduced manual workload by 42% in the first quarter."

John H., Manufacturing

"LF Labs implemented AI-driven lead qualification and follow-up automation that increased our conversion rate by 27% and added a new predictable revenue stream."

Sophie M., Professional Services

"By automating our reporting and internal approvals, LF Labs reduced processing time from 5 days to under 24 hours — freeing up our team to focus on strategy instead of admin."

Alex R., Financial Services

"LF Labs didn't just deploy AI — they trained our team and embedded new workflows. Within 60 days, AI adoption reached 85% across departments."

Rachel D., Healthcare Tech

"LF Labs helped us prioritize the 3 highest-impact AI use cases for our business, eliminating months of guesswork and giving us a clear implementation roadmap."

James W., Logistics & Supply Chain

"Within 90 days, LF Labs deployed automation that cut operational costs by 30% while improving accuracy and compliance."

Elena V., Retail Enterprise
15+
Successful client engagements
5+
Industries
served
100%
Solutions deployed to production
Weeks,
not months
Average time to first results
SEO & LLM

Decide what's actually worth building.

Before anything is developed, we align leadership, assess workflows, and quantify ROI. If it won't create measurable impact, we don't pursue it.

AI Opportunity Map

ROI Prioritization Model

Deployment Roadmap

Workflow & Data Assessment

FAQ

Questions a technical buyer actually asks.

Do you work with our existing stack?

Yes. We integrate with your CRM, ERP, databases, and internal tools over APIs and secure pipelines — we build around your stack, not rip it out and replace it.

Who owns the code and systems you build?

You do — fully, documented, and handed over. We design for capability transfer so your team can operate and extend the system without us in the loop.

What does an engagement look like?

A scoped discovery to find the highest-ROI opportunity, then a production-ready build with evals and observability, then we embed it with your team. Typically weeks to first results, not months.

Do you hand it over, or stay on?

Your call. We hand over completely — and offer optional ongoing operation (monitoring, optimization, new capabilities) if you'd rather we keep running it alongside you.

How do you keep AI systems reliable in production?

Eval gates on every release, full observability, canary rollouts with one-command rollback, and a human in the loop where it matters. If quality regresses against the eval set, it doesn't ship.

Who do you work with, and where are you based?

Mallorca, Spain — working remote-first with mid-market teams across Europe and beyond.

Ready to Operationalize AI?

Let's identify where AI can deliver measurable impact for your business — and build it properly.