Your data already has the answer. We get it there in time.
We start with the systems already running your operation — ERP, inventory, catalog — and build forecasting, agents and automation on top of that data. Every answer ships grounded in a real record and measured before it goes out, not promised.
Book a 15-min auditThe challenge
Lack of trust stalls AI in real operations.
Most pilots never reach production, and the #1 reason isn't the model — it's trust. It stalls because of:
Made-up data
Models that hallucinate prices, stock or figures that don't exist — in a chat with your customer or in a report for your board.
Unproven ROI
Pilots the team never adopts, and workflows that keep running exactly as before.
Escalating costs
Unmonitored usage that turns into surprise API and cloud bills.
The solution
We close the trust gap.
The path to production is evaluating, improving and monitoring every system with data from your operation — not promises.
With Betancore, your operation crosses the production threshold
Anti-hallucination by default
Every answer and every figure comes from your catalog, your systems and your rules. What the system doesn't know, it escalates to your team.
Measurable from day one
Every conversation is traced against your numbers: inquiries, sales and response times.
Monitored 24/7
Health, cost and quality watched in production, with alerts when anything drifts out of range.
How it works
How we turn a pilot into a reliable system.
Evaluation with your real data, and human control at every step that touches a customer.
Measure your AI
Before it touches your operation, every system is tested against your real data and the hard cases: sold-out sizes, closing figures, ambiguous emails, tricky questions.
System confidence
96
out of 100 across 80 test cases
Your business sets the rules
Every policy in your operation becomes a hard constraint of the system — not a suggestion the model can ignore when convenient.
Business rules
If occasion is a wedding→exclude bridal tones
If inventory lookup→warehouse CD02 only
If price not confirmed→escalate to your team
+ New rule
Human control where it matters
Everything that touches a customer or moves money goes through your team's approval until the numbers prove it can fly solo.
Approval queue
2 pendingSystem detection
Low stock on 4 SKUs of the active line (warehouse CD02).
Suggested action
Replenishment order: 120 units to CD02 before Friday.
Industries
Same engineering, your industry.
The engine is the same: your data, your rules, grounded. What changes is the vocabulary of your operation — and that's exactly where most projects fall apart.
Customer-facing infrastructure.
It answers for your operation in front of your customers — with your data, your rules, and someone accountable when something falls outside the script. A tool gets installed and forgotten; infrastructure gets operated, measured, and kept running.
Cases
Real clients, real results.
Fashion retail corporation · Costa Rica
Connecting their full corporate system to a sales assistant: the entire catalog, searchable in seconds by their team.
Women's fashion brand · retail
Serving customers on WhatsApp 24/7 across the full catalog — never inventing a size or a price.
Boutique jewelry store
Answering WhatsApp inquiries after hours without losing a single lead.
Scale
68,727
items from a corporate SAP connected to AI agents.
Live
2,697
product variants selling on WhatsApp and web.
Adoption
≈20
daily enquiries from the sales team during the pilot — and the pilot just started.
Response
Seconds
from manual lookups to instant answers.
To production
4 wks
from pilot signature to running in your operation.
For confidentiality, names and full numbers are shared on the call.
See all case workCorporate ERP connected to a sales assistant: 68,727 items queryable in seconds from the sales floor, instead of a manual lookup in the system.
The method
Betancore Grounding.
Anyone can wire up a model. What can't be improvised is making sure it never invents in front of a customer. Here's how we guarantee it:
01
Structured ingestion.
Your catalog, systems and documents become a living knowledge base the agent consults before answering.
02
Three-layer guardrails.
Instructions, retrieval and output validation: if a fact isn't in your base, the agent won't state it.
03
Human gate.
Nothing customer-facing ships without human review, and the agent escalates to a person whenever the case calls for it.
04
Continuous evaluation.
Suites of real scenarios run before every change, so an improvement never breaks what already worked.
Every new vertical inherits what the last one taught us: the tenth system we build for an industry is better than the first — and yours is born with all of that inside.
Alternatives
Against your real options.
No competitor names — the two paths you're actually weighing.
| Betancore | In-house team | DIY platform | |
|---|---|---|---|
| Time to production | 4 weeks with the pilot | 3–6 months, hiring first | Days, if the case is simple |
| ERP / CRM integration | Included — it's the core of the work | Depends on the team you build | Limited to generic connectors |
| Anti-hallucination guardrails | Three layers, verified with scenarios | Possible with senior AI talent | Basic configuration |
| Upfront cost | Medium | High: payroll + learning curve | Low — DIY wins here |
| Who maintains it | We do, with a monthly SLA | Your team, if they stay | You, with generic docs |
| When it makes sense | When the system faces real customers | When AI is your core and you can hire | For internal experiments |
Trust
Your data, your rules.
These policies are written for you to read, audit and put into the contract. A specific, verifiable commitment is worth more than a badge on a wall: this is exactly what we bind ourselves to with your data.
Your data never trains models.
Your operation's data is used only to answer for your operation. Never to train models — ours or anyone else's.
Minimal, revocable access.
Read-only credentials wherever possible, separate accounts per client, and every access revoked when the contract ends.
Full reversibility.
If you leave, you take the code, the data and the documentation with you. No hostages, no exit fees.
Human in the loop.
Everything your customer sees passes human review before shipping, and sensitive cases always escalate to a person.
FAQ
The questions that kill contracts.
Answered in writing, before the first call.
Am I locked in with you?+
No. Code and configuration live in repositories under your name or transferable to you, and documentation is part of the deliverable: if you leave, you leave with a system that works. What doesn't carry itself is the work of keeping it true — your catalog changes, your rules change, and the models shift underneath. That's what the monthly fee pays for, not ransom.
Who owns the IP and the data?+
You do. Software built for your project is yours once paid, and your data never stops being yours: we don't use it to train models or for other clients.
How do I measure that it actually works?+
Metrics are defined before we build — response times, leads served, case coverage — and you review them in reports a manager can read, not just an engineer.
What if the AI tells my customer something false?+
That's what Grounding is for: if a fact isn't in your base, the agent won't state it — it asks or escalates to a person. And every system passes a suite of real scenarios before touching customers — a suite that keeps growing with each month's real conversations.
What if I want to leave tomorrow?+
Thirty days' notice, an orderly handover of access, data and documentation, and the system remains yours. What stops that day is the upkeep: nobody re-syncs the catalog, adjusts the rules when your operation changes, or answers when the agent gets something wrong in front of a customer. It's all in the contract from day one.
How do you charge?+
One-time implementation + a monthly operation fee. The implementation builds the system; the monthly keeps it true — the catalog stays in sync, rules get adjusted when your business changes, the test scenarios grow with real conversations, and someone is accountable when the agent gets it wrong in front of a customer. A system without that doesn't break all at once: it starts lying slowly. That's why a "$0/month" plan doesn't exist. Ranges are published on the pricing page.
Resources
What we learned putting it in production.
No conference theory: what actually breaks when an agent touches real customers — written so you can use it without hiring us.
When it has to work, start with Betancore.
A 15-minute audit of your real case — not a canned demo. You leave with an honest read on what to automate first, and what not to.