Pantaia is an AI operations consultancy. We work inside established organizations to close the gaps between the systems, processes and people you already have — with AI agents, automation and reporting that integrate with your platforms of record, under governance your risk and compliance teams can sign off on. No migrations. No rip-and-replace.
Large organizations don't need another platform. They need the gaps between existing systems closed — reliably, auditably, and without disrupting the operation.
Process consulting first. We map how work actually moves across your systems and teams, quantify the gaps, and produce a scoped roadmap with owners and controls before any technology is chosen.
Agents that operate the platforms you already run — ERP, CRM, ITSM, GIS — the way a trained person would, with human approval where it matters.
Executive dashboards wired to your systems of record and reconciled to the published numbers, so decisions are made on one version of the truth.
Production systems running inside real organizations — procurement, field operations, finance, telecom and automotive — built on the platforms they already had.
Telecom sales distribution · Live — 5+ years
Gamified, decentralized growth platform for telecom sales distribution. When incentives are aligned correctly, decentralized networks scale — multi-level commissions, honeycomb community visualization and real-time dashboards created a self-sustaining growth engine that still runs today, years after handover.
80 → 180+
Team scaled
4×
Profit growth
50%
Turnover reduced
5+ yrs
Sustained growth


Construction operating system · Multi-tenant platform + iOS · Live in the UK
One operating system for a construction business — built for a UK contractor, Satoris, and now deployed per client as Siteliner: one codebase, a private workspace per company, features switched per tenant.
It runs the commercial and delivery chain on the company's own formats, and replaced a Monday.com setup with a system the team actually opens.



Behind the platform
Inputs — suppliers, materials, field data — go in one side. The machine — your data spine, an AI core, a crew of agents — does the busywork. Finished projects come out the other. Your team steers from the control room.
End to end
Mess in, model at the centre, agents around it, clean outputs delivered — and the loop that compounds. Every completed job writes back. The next plan beats the last. That's the moat.
Mobility & car-subscription company · Monterrey, MX · Pilot in production
Dileo is the single legal owner of every car it resells, with a complete service history and a proper invoice — a moat no used-car lot can copy. But the resale flow ran on WhatsApp threads through a chain of intermediaries, adding hours of latency to every offer.
We built the layer their commercial team actually uses: consigning clients and brokers transact directly, while Dileo's staff supervise instead of relaying messages.
Before: a relay chain · After: direct, supervised
Consigning client
Sets price & floor
Sees value, market references and every offer. Accepts, rejects or counters — on WhatsApp.
Dileo platform
Referee, not relay
Showings only when the offer is in range. Staff watch the deal and nudge when it stalls.
Broker
Makes a formal offer
Browses inventory as if it were their own, with comparable prices from 180 days of market data.
Minutes
offer to answer, not hours
Hundreds
of cars in one pipeline
3 roles
one system of record


IT services provider · Mexico · Live, in production
A modern service-desk portal for field engineers and their coordinators — tickets, assignments and closure flows in an interface built for the field, with six role-based experiences from engineer to coordinator.
Runs on top of the client's existing ITSM of record — no rip-and-replace, adopted by the team in days.
Privately-held company · Mexico · Live
The company's consolidated financial statements, turned into interactive executive dashboards — built as a forensic instrument for an accounting cleanup and the foundation for a live cash-flow view. Wired to the ERP (Odoo among them) so every dashboard reads from the system of record.
Penny-exact
An extraction pipeline that matches the books, always.
Forensic clarity
Ledger inconsistencies become visible at a glance.
Read-only by design
The accounting system stays the source of truth.
Path to live cash flow
The antechamber to a real-time cash-flow statement.



Major Mexican telecom operator · Working prototype
An agent that answers “can we serve this address?” by operating the operator's own network-inventory GIS — replacing a manual, per-address lookup done by sales teams.
No integration project: it drives the existing tools, the way a person would. Your legacy systems don't block AI adoption — agents can operate what you already run.
Input
Lead comes in
An address from sales — “can you serve me here?”
Agent · checks the systems
Operates the operator's tools
Output
Verdict, in minutes
● Viable — coverage at the address
● Not viable — outside the network
Demo: internal system — on request.
Flagship · Agent-to-agent architecture · Live
A global AI-first networking platform where AI agents speak to each other first, filtering for mission alignment before humans invest time. Only 1 in 20 networking conversations is relevant — agents filter first.


A four-stage engagement for organizations where change must be controlled: every stage has a defined scope, a sign-off, and a way back.
We map operations, systems of record and controls, and deliver a scoped roadmap with a risk register — before any build.
Architecture on your existing platforms, a data-access model that is read-only by default, security and compliance review, and formal approval from your stakeholders.
One process, one team, run in parallel with the current way of working and measured against a baseline. Nothing switches until it is demonstrably better.
Documented handover, training, service levels and an ongoing retainer, so the system keeps pace with the organization.
The assurance an operations leader needs before putting AI near a live process — answered before you have to ask.
We integrate with your platforms of record. No data lake, no copies outside your perimeter unless you decide otherwise.
Agents read before they write. Every write goes through a rule you approved or a person who approves it.
Every action an agent takes is logged — who, what, when and why — and reviewable by internal audit.
Thresholds, approvals and escalation paths are configured with your operations owners, not around them.
We work with the AI provider your policy allows, including your own enterprise agreements. The code is yours.
Runbooks, training and support agreements, so the system survives staff changes on both sides.
Not a software vendor guessing at the workflow.

Founder, Pantaia
Houston · CDMX · Dubai
Industrial engineer by training, I've spent more than seven years designing processes and products for operations that have to scale. As CEO of a 180-person service company I lived the problem Pantaia solves: good people, real work, and information scattered across tools that never talked to each other.
Pantaia is that experience applied to AI inside established organizations. I work directly with your operations leadership on three fronts: process consulting to map how the work actually moves and where the gaps are; business intelligence so every decision reads from one source of truth; and AI agents and automation that operate on the systems you already run — one process at a time, under your governance.
“The answer isn't a new platform. It's a system that already knows how your organization works.”
Operator, not just a vendor
Ran and scaled a business before advising one — the operation comes first.
Process first, then technology
The workflow and its controls are designed first; the AI follows them, not the other way round.
Embedded and accountable
Weekly working sessions with your team, documented handover, and your code and data stay yours.
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