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AI implementation, not AI theatre

Implement AI your team actually uses

Run a free AI diagnostic on your business in minutes — no call, no slides. We'll show you where the hours are leaking, then build and ship the agents that get them back. In production, measured, in weeks.

Run your free AI diagnosticTalk to a senior engineer instead

5 minutes. No call required. NDA and data processing agreement signed automatically before you upload anything.

4–6 weeks
From diagnostic to first agent in production
100%
Senior engineers — no juniors billed as experts
US · LATAM · EU
Senior delivery teams across all three regions

The real problem

Your company has bought AI. It hasn't shipped any.

Licences were approved. A few people use a chatbot. Someone ran a pilot last quarter. And still, not one agent is running a real process end to end — the same work gets done the same way it did two years ago.

The gap is never the model. It's the implementation.

  • Pilots that die at the demo

    The proof of concept impressed the steering committee and never touched a production system, a real dataset or a real user.

  • Tools bought, processes untouched

    Seats were rolled out company-wide. Nobody redesigned the workflow underneath, so the tool became one more tab nobody opens.

  • No one owns the outcome

    IT says it's a business problem, the business says it's an IT problem, and the vendor says it's a change-management problem.

How it works

Three steps, one outcome: working agents in production

The same structure on every engagement, whether you have 30 employees or 3,000.

  1. 011–2 weeks

    Diagnostic

    We sit with the teams doing the work, map the processes end to end and quantify where hours and margin actually leak. Start with our free AI diagnostic tool for an instant first read, or go straight to a session with a senior engineer — either way, you get a prioritised backlog scored by impact, feasibility and risk.

    • Process and data mapping with the people who run them
    • Opportunities scored by hours saved, cost and technical risk
    • A build plan you can execute with us or without us
  2. 024–8 weeks

    Implementation

    We build the highest-value agent first and put it in front of real users on real data. Integrated with your stack, monitored, with evaluations and guardrails from day one — not after the incident.

    • Agents integrated with your CRM, ERP, ticketing and internal APIs
    • Evaluation suites, human-in-the-loop checkpoints and audit logs
    • Hand-over documentation your engineers can actually maintain
  3. 03Ongoing

    Continuous improvement

    Agents drift as your business changes. We monitor quality, cost per task and adoption, retune what degrades, and roll the next process onto the same foundation.

    • Monthly quality, cost and adoption reporting against baseline
    • Model and prompt updates as the ecosystem moves
    • A widening footprint: one process, then the next

Why Bable

Senior engineers who ship, not a deck and a junior team

We are the team that builds it. The people in the diagnostic are the people writing the code.

  • Working software, not recommendations

    Every engagement is measured by what runs in production at the end of it. Documents are a by-product, never the deliverable.

  • Senior-only, hands on keyboards

    No pyramid staffing. The engineers who scoped your problem are the ones implementing it, with direct access all the way through.

  • We start from your process

    Model choice is the last decision, not the first. We design around how your operation actually works, including the parts that shouldn't be automated.

  • Built to be handed over

    Your stack, your cloud, your repositories. No black boxes and no dependency on us to keep the lights on.

What that looks like in practice

What that looks like in practice
With BableTypical consultancy
First agent live in 4–6 weeksDiscovery phase billed for three months
Senior engineers on the buildPartners sell it, juniors deliver it
Measured on hours and cost per taskMeasured on deliverables submitted
Your repos, your cloud, full hand-overProprietary platform and lock-in

Use cases

Where the hours usually are

Representative engagements. Yours will look different — that's what the diagnostic is for.

  • Support automation

    Agents that resolve tier-one tickets end to end against your knowledge base and order systems, and escalate cleanly with full context.

    Typical: 40–60% of tier-one volume deflected

  • Sales operations

    Lead enrichment, qualification and CRM hygiene handled automatically, so reps spend their week in conversations instead of data entry.

    Typical: 6–8 hours returned per rep per week

  • Internal knowledge agents

    One place to ask anything about policies, contracts and documentation, answering with citations and respecting existing permissions.

    Typical: 70% fewer internal 'who knows about…' pings

  • Document and contract processing

    Extraction, validation and routing of invoices, contracts and claims, with humans reviewing exceptions rather than every record.

    Typical: 80% of documents cleared without review

  • Back-office reconciliation

    Agents that cross-check systems that were never designed to talk to each other and flag discrepancies before they reach the close.

    Typical: month-end close shortened by days

  • Engineering productivity

    Review, test and migration agents wired into your CI, tuned to your codebase conventions instead of generic defaults.

    Typical: 25–35% faster cycle time

Clients

What clients say about working with Bable

Selected clients

  • Besage.ai
  • Kuarere
  • Itoour
  • Welivic
  • Mota-Engil
  • Eddy
  • Municipalidad Provincial de Arequipa
  • Zyrbeox

  • The talent Bable brought onto our team stood out from day one, and it made a real difference to what we could ship.

    Elizabeth GozzerCEO & Co-founder, Besage.ai

  • They got the staffing right, our velocity went up, and communication was seamless from the very first day.

    Belen SolaCEO, Kuarere

  • We had a developer contributing to production in under a week. Their vetting process saved us months.

    Carlos GomezCOO, Welivic

  • Their process gave us real-time collaboration and a clear lift in productivity.

    Milton JimenezCEO, Itoour

  • It was intuitive from the start — the team adopted it with barely any training.

    Juan CallacondoSub Gerente, Municipalidad Provincial de Arequipa

Engagement models

Three ways to work with us

Fixed scope, fixed price, no open-ended discovery. Every engagement starts with the diagnostic.

Diagnostic

From $500

1–2 weeks · typically $500–$1,500

For teams that know AI should be doing something here, but can't yet say what, or in which order.

  • Process mapping with the people who run the work
  • A report of 3–5 prioritised AI use cases
  • Impact, feasibility and data-readiness scored for each
  • The report is yours, whether you build with us or not
Book a call
Most common

Implementation

From $4,000

2–4 weeks · typically $4,000–$12,000 by complexity

We build, integrate and ship one agent, then hand it over running in your environment.

  • One working agent in production
  • Integrated with one or two of the tools you already use
  • Evaluations, guardrails and monitoring from day one
  • Team enablement and hand-over documentation
Book a call

Retainer

From $1,000/mo

Monthly · typically $1,000–$3,000/mo

For companies that want the agents already running to stay reliable, and the next small use case to keep arriving.

  • Ongoing maintenance and tuning as your business shifts
  • New small use cases added month to month
  • Monthly quality, cost and adoption reporting
  • Priority access to the senior team
Book a call

Ranges, not price tags. Every engagement is scoped on a call before anything is quoted — there is no self-serve checkout.

FAQ

The questions we get asked first

If yours isn't here, ask it on the call.

How long before we see something working?

The diagnostic takes one to two weeks. The first agent is typically in production between weeks four and six. We deliberately start with a process that is valuable but narrow, so the first result arrives before the enthusiasm runs out.

What happens to our data?

Everything runs in your infrastructure and your cloud accounts by default. We work under an NDA and a data processing agreement, apply least-privilege access, and can keep processing inside the EU or the US where required. We do not train models on your data and neither do the providers we configure. The same protections apply whether you run the free AI diagnostic tool or work with us directly: NDA and DPA signed upfront, least-privilege access, no training on your data.

How is this different from hiring two more developers?

Developers are excellent at building what you specify. The hard part of AI implementation is deciding what to build, knowing which problems current models genuinely solve, and designing evaluation and guardrails so the system stays reliable. We bring that judgement, then leave your team able to run it.

Do we need our data 'ready' before starting?

No, and waiting for it is the most common way to lose a year. The diagnostic assesses what your data can support today. Most first agents need far less structure than people assume, and the gaps we do find become concrete work items instead of a vague blocker.

Which models and tools do you use?

Whichever fits the problem, your compliance constraints and your budget. We are not resellers and take no vendor commissions, so the recommendation changes as the models do. Cost per task is a design constraint from the first day.

What if the diagnostic says AI isn't the answer?

Then we say so and tell you what is — usually a process or integration fix that costs far less. You keep the analysis either way. We would rather lose an implementation than ship something you don't need.

Next step

Book a free AI diagnostic

Forty-five minutes with a senior engineer. Bring one process that frustrates you. You'll leave knowing whether an agent can take it on, roughly what it costs, and what would have to be true first.

Pick a time

Prefer email? Write to anthony@getbable.com and we'll find a slot.

Or send us the details

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