AI Operations Consulting

AI that strengthens the operation you already run.

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.

HoustonTX · USA
Mexico CityCDMX · MX
DubaiUAE
Services · Three practices

From current systems to operational continuity.

Large organizations don't need another platform. They need the gaps between existing systems closed — reliably, auditably, and without disrupting the operation.

01

Operations Assessment & Roadmap

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.

  • ·Process & systems mapping
  • ·Gap and risk assessment
  • ·Prioritized roadmap with owners
  • ·Change-management plan
02

AI Agents on Existing Systems

Agents that operate the platforms you already run — ERP, CRM, ITSM, GIS — the way a trained person would, with human approval where it matters.

  • ·Integration without migration
  • ·Human-in-the-loop controls
  • ·Full audit trail of every action
  • ·Read-only by default, write with approval
03

Business Intelligence & Reporting

Executive dashboards wired to your systems of record and reconciled to the published numbers, so decisions are made on one version of the truth.

  • ·Single source of truth
  • ·Reconciled to the books
  • ·Read-only over your ERP
  • ·Board-ready reporting
Selected work · Portfolio

What we've built.

Production systems running inside real organizations — procurement, field operations, finance, telecom and automotive — built on the platforms they already had.

Client work · Distribution platform

Pakoa

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

Profit growth

50%

Turnover reduced

5+ yrs

Sustained growth

Visit pakoa.com
Pakoa — honeycomb community view
Pakoa — performance dashboards
Client work · Construction operating system

Siteliner

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.

  • Procurement, end to end — AI cost-sheet parsing, variations with automatic deltas, call-offs, purchase orders and tolerance-based invoice matching.
  • Live job margins — budget vs. committed vs. actual per job, with role-routed approvals and alerts when a margin slips.
  • Documentation & compliance — RAMS, O&M and handover packs generated from the job record instead of rebuilt by hand.
Visit siteliner.ai
Siteliner — operations dashboard
Siteliner — estimating agent workspace
Siteliner — project timeline and agents
  • User-defined AI agents — teams define their own agents, like the fire-door agent that turns site surveys into branded PDF quotes.
  • Multi-tenant, web + iOS — one codebase deployed per client with features switched per tenant, and a native iOS app kept in sync.
Interlude · How it works

Behind the platform

A factory line for your business.

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.

SUPPLIERS materials · services · field data — in LLMs intelligence core AGENTS PLAN.PROCUR.REPORT. MCP the flow between agents & model Model Context Protocol — a standard interface for agents to read data & use the tools Costs Projects Suppliers Clients Rules History THE MODEL your operation as connected data PANTAIA we analyse the operation, build & tune the machine YOUR TEAM approve & steer — no new hires for busywork UI the control room — your team's window CLIENTS work delivered · on time · on budget — out every delivered project feeds back the machine gets smarter with every project

End to end

Zoom out: how it runs your work.

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.

TODAY scattered · manual · in heads spreadsheets PDF past records email threads tribal knowledge (rates · rules · experience) field reports structured once AI extracts it — you don't retype it Costs Projects Suppliers Clients Rules THE MODEL your operationas connected data Planning Change control Commercial Procurement Billing Compliance docs AGENTS they read the model, do the task, write back — they never dig through files YOUR TEAM approves & steers — no new hires for busywork DELIVERED on time, consistent, auditable Proposals out fast Orders & approvals Live margins Handover records every finished job writes back the model sharpens — the next plan beats the last
Back to the projects ↓
Client work · Automotive resale platform

Dileo Seminuevos

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.

  • Seller portal: market value, where it's published, offers, floor-price range
  • Broker catalog with comparable-price references and formal offers
  • Role-based access (admin, consultant, broker) over the inventory system of record
  • WhatsApp-first: offers, showings, odometer photos, weekly summaries

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

Field Services Desk — coordinator view
Field Services Desk — engineer ticket flow
Client work · IT field operations portal

Field Services Desk

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.

Client work · Financial analytics platform

Financial Reporting

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.

Financial Reporting — executive dashboard
Financial Reporting — statement reconciliation
Financial Reporting — cash-flow view
Client work · Telecom services automation

Coverage Agent

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

  • › corporate SSO login
  • › geocode the address
  • › query network-inventory GIS

Output

Verdict, in minutes

Viable — coverage at the address

Not viable — outside the network

Demo: internal system — on request.

Own product · AI-first platform

Matchlist

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.

  • Agent-to-agent conversations with persistent memory
  • Mutual opt-in matching, conversation rating for signal
  • Multi-hub by design — built for global innovation networks
Visit matchlist.ai
Matchlist — agent-to-agent conversation view
Matchlist — matches and mission alignment
How we work · Approach

Governed, not improvised.

A four-stage engagement for organizations where change must be controlled: every stage has a defined scope, a sign-off, and a way back.

i.

Assessment

We map operations, systems of record and controls, and deliver a scoped roadmap with a risk register — before any build.

ii.

Design & Sign-off

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.

iii.

Controlled Pilot

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.

iv.

Scale & Operate

Documented handover, training, service levels and an ongoing retainer, so the system keeps pace with the organization.

Governance · Assurance

Built to pass the review.

The assurance an operations leader needs before putting AI near a live process — answered before you have to ask.

01

Your data stays in your systems

We integrate with your platforms of record. No data lake, no copies outside your perimeter unless you decide otherwise.

02

Read-only by default

Agents read before they write. Every write goes through a rule you approved or a person who approves it.

03

Full audit trail

Every action an agent takes is logged — who, what, when and why — and reviewable by internal audit.

04

Human in the loop

Thresholds, approvals and escalation paths are configured with your operations owners, not around them.

05

Model-agnostic, no lock-in

We work with the AI provider your policy allows, including your own enterprise agreements. The code is yours.

06

Documented handover

Runbooks, training and support agreements, so the system survives staff changes on both sides.

Who you work with

Built by someone who has run the operation.

Not a software vendor guessing at the workflow.

Mauricio Simón, founder of Pantaia

Mauricio Simón

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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Contact

Let's start with an assessment.

Tell us where the operation is losing time or visibility. We'll come back within 48 hours with a proposal for a scoped assessment — no commitment beyond it.

Houston · Mexico City · Dubai