AI Enablement for Modern Enterprises

The AI EnablingCompany.

We deploy AI into your process — and keep it working as your business and models evolve. Training · Skills & Plugins · Product Strategy · Multi-Agent Systems.

Book a call →
engagement2-wk diagnostic
time to live≤ 30 days
packsfinance · legal · hr · mkt
stackmodel-agnostic
status● active
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Trusted by
VALMEXRETORNO LOGÍSTICOSEALESTELLAR CAPITALAPEX LOGICQUANTUM PARTNERS
ISO 27001SOC 2LFPDPPPCNBV-ready
01Why AI initiatives stall

Most companies are stuck between AI hype and AI reality.

Courses without deployment. Pilots without ROI. Tools without process fit. Models that silently decay.

01 / Training alone

Training alone doesn't ship outcomes.

Your team learns prompts, but workflows never change and ROI never lands.

02 / Pilot purgatory

Pilots don't survive contact with the business.

Demos look great; production is where AI meets your data, your compliance, your reality.

03 / Model drift

AI assets decay.

Models update every quarter. Processes evolve. Un-maintained skills and agents silently break.

ProvexAI solves all three — from first workshop to production agent, under ongoing maintenance.

02The Provex Layer

We're the layer between your people and your AI infrastructure.

Infra is commoditizing. Training alone doesn't scale. The real work — and the real value — lives in the operating layer.

Layer 01
People Layer
Your team, trained to operate AI day-to-day.
Users · Ops
Layer 02 · Provex
The Operating Layer
Skills · Workflows · Agents · Products. Designed, built, and maintained by us.
Skills · Agents
Layer 03
Infra Layer
LLMs · Cloud · Orchestration · Compliance. Stack-agnostic.
Claude · OpenAI · Azure · AWS

Where the value lives.

Infra is commoditizing. Training alone doesn't scale. The real work — and the real value — lives in the skills, workflows, and agents that actually run inside your business.

What Provex does.

Provex designs, builds, and maintains that layer. Model-agnostic. Stack-agnostic. Process-aware. Compliance-ready.

03What we do

One partner. Four business lines. Every step from learning to production.

Whether you're starting with a team workshop or scaling a multi-agent system, Provex runs end-to-end.

Line 01

Role-Based AI Training

Live, interactive programs for Finance, Legal, HR, Marketing, Ops, and Exec teams. Built around real tools, real data, real processes.

PlaybooksPrompt librariesInternal champions
Teams that operate AI day-to-day — not one-off demos.
Line 02
Setup + Maintenance

Skills & Plugin Development

Custom Claude Skills, ChatGPT plugins, Copilot extensions, and MCP servers that plug AI directly into Slack, Notion, Excel, ERP, CRM, and custom tools.

SkillsPluginsMCP serversIntegrations
AI capabilities inside the tools your team already uses.
Line 03

AI Product Development & Strategy

Design, build, and GTM for companies launching AI-native products or adding AI to existing ones. Architecture, UX, evals, shipping.

Product strategyPrototypesProduction builds
Products with AI at the core — not bolted on.
Line 04
Setup + Maintenance

Multi-Agent Design & Implementation

Production multi-agent systems running inside your stack — orchestration, tool use, memory, evals, guardrails. Model- and cloud-agnostic.

OrchestrationAgentsEvalsGuardrails
Agents that do real work — safely, measurably, continuously.

From training to production agents — inside your stack, under continuous maintenance.

04Flagship offering

Vertical Packs — AI, department by department.

We don't sell "an agent." We deliver your Finance, Legal, HR, or Marketing function — AI-enabled end-to-end, from onboarding through deployment to continuous maintenance.

Process Map

CloseAP / ARForecastingFP&AAudit

What We Deploy

Skills
Invoice Triage · Variance Explainer · Close Copilot · Forecast Assistant
Agents
AP Routing Agent · Reconciliation Agent · Forecast Review Agent
Templates
Chart-of-accounts-aware prompts · SOX-aligned audit logs

Onboarding Journey

Week 1–2

Diagnostic + process audit

Week 3–4

Skill/agent build + integration

Week 5–6

Pilot with real workflows + evals

Ongoing

Maintenance · drift monitoring

Outcomes

First deploy
≤ 30 days
ROI window
60–90 days
Maintenance
Monthly evals
Compliance
CNBV · SOC 2
See the Finance pack →
05How we work

From "AI-curious" to "AI-native" — in one repeatable motion.

A five-step cycle we run inside your stack, compressing an 18-month rollout into a single quarter. Then we keep it running.

Step 01

Diagnose

Process audit, ROI mapping, shortlisted skills and agents per vertical pack.

Pack Diagnostic report
Step 02

Train

Role-based live training for the teams that will operate AI day-to-day.

Playbooks + champions
Step 03

Build

Skills, plugins, workflows, agents — deployed into your stack with evals.

Production-ready AI
Step 04

Deploy

Integration, guardrails, compliance sign-off, owner transfer to your org.

Live in ≤ 30 days
Step 05

Evolve

Monthly maintenance, drift monitoring, quarterly model upgrades, SLA.

Continuous performance
Stack-agnosticClaude · OpenAI · Azure · Bedrock · open-sourceCompliance-firstLFPDPPP · CNBV · ISO 27001 · SOC 2Your data stays yoursOn-prem · private cloud · your LLM accounts
06Setup + Maintenance

We build it once. Then we keep it working.

Every skill, plugin, and agent we deploy runs under a Setup + Maintenance model — so your AI assets evolve with your business, not against it.

Setup · One-time
Discovery → Build
  • Discovery
  • Build
  • Integration
  • Evals
  • Compliance sign-off
Maintenance · Monthly
Keep it working
  • Drift monitoring
  • Model upgrades
  • Workflow edits
  • Compliance updates
  • SLA-backed performance

AI assets decay.

Models update every quarter. Your processes evolve. Without maintenance, the skills and agents you paid for silently degrade.

We insure your AI investment.

Monthly evals, prompt drift monitoring, model upgrades, compliance patches, and SLA-backed performance — so your AI stays production-grade.

One partner, continuous coverage.

Forget vendor churn, abandoned pilots, and stale prompts. Provex owns the operating layer end-to-end.

Maintenance starts per asset · volume discounts for multi-pack deployments
07Proof

Quantified outcomes. Live and maintained.

Three anonymized micro-cases from Pack deployments across banking, HR, and legal. Every asset runs under monthly evals.

Banking · Finance Pack

AP Triage Agent

$12.4K/mo
Saved · 21-day deployment
Live · Monthly evals · 99.2% accuracy
HR · HR Pack

HR Helpdesk Agent

68% deflection
T1 tickets · 14-day deployment
Live · Monthly evals · SLA 99.5%
Legal · Legal Pack

Contract Review Agent

5× throughput
Reviewer output · 30-day deployment
Live · Monthly evals · audit trail
Provex didn't hand us a deck. They handed us a working agent — and then stayed to keep it working as our models and policies shifted.
— CFOTier-1 LatAm bank · Finance Pack, Year 2
08Line 01 · AI Training

Role-based programs that ship playbooks.

Still the best place to start. Live, cohort-based training for the teams that will operate AI in your company — Finance · Legal · HR · Marketing · Ops · Exec.

See full curriculum →
M1

AI Foundations & Large Language Models

Transformers, tokenization, context windows, and the economics of inference — framed for professionals, not engineers.
Outcome: Model-selection rubric
M2

Prompting Fundamentals & Chain-of-Thought

Structured prompting patterns, chain-of-thought, role & format control, failure modes.
Outcome: Production-ready prompt library
M3

Agentic Workflows & Tool Integration

Tool use, function calling, MCP, and the boundary between assistant and agent.
Outcome: Working internal agent
M4

Retrieval-Augmented Generation (RAG)

Chunking, embeddings, reranking, evaluation. Corporate knowledge grounded correctly.
Outcome: Grounded Q&A skill
M5

Vertical Playbook · Your Pack

The high-leverage workflows in your chosen Pack — done with AI, reviewed by humans, shipped to production.
Outcome: Deployed skill or agent
M6

Ethics, Safety & Enterprise Governance

Data residency, audit trails, evals, red-teaming — how to deploy AI in regulated industries safely.
Outcome: Internal AI policy draft
09Pricing

Four ways to engage. One continuous partnership.

Scope-based pricing across four tiers. Every build includes Setup + Maintenance.

Workshop
Fixed fee
Role-based live training for one department; one playbook produced.
  • 1 department
  • Live, on-site or remote
  • 1 playbook artifact
  • Prompt library starter
Best for · first-time buyers, exec teams
Pack Diagnostic
Fixed fee · 2 weeks
Process audit of one vertical pack, ROI map, shortlisted skills and agents.
  • 1 vertical pack
  • Process + ROI audit
  • Shortlist of skills/agents
  • Go / no-go roadmap
Best for · buyers ready to move
Program
Project + Maintenance
Training + Diagnostic + Skills/Plugins rollout for one pack.
  • 1–2 departments
  • Training + Build + Deploy
  • Skills · plugins · MCP
  • Setup + Maintenance included
Best for · mid-market
Most popular
Embedded
Monthly retainer
Forward Engineer + multi-agent build + ongoing evolution across multiple packs.
  • Multi-vertical coverage
  • Forward Engineer on-call
  • Multi-agent systems
  • SLA-backed performance
  • Quarterly model upgrades
Best for · enterprise · regulated

Every build includes Setup + Maintenance. Monthly maintenance covers drift monitoring, model upgrades, workflow edits, compliance updates, and SLA.

Book a call →
10FAQ

Common questions, answered directly.

If your question isn't here, book a Forward Engineer call — we'll answer it on the spot.

Do we have to pick a pack, or can you build custom?

Packs accelerate, but every engagement is tuned to your process. If your workflows don't fit a standard pack, we'll build a custom one under the same Setup + Maintenance model.

Which LLM do you use?

Model-agnostic. Claude, OpenAI, Azure, Bedrock, or open-source — selected based on your stack, cost, and compliance needs.

Does our data leave our environment?

No. We deploy inside your cloud or LLM accounts. You own the keys, the logs, and the data.

How do you handle compliance?

Every pack carries a compliance layer — LFPDPPP, CNBV-ready, ISO 27001, SOC 2 aligned. Audit logs, evals, and guardrails included.

What's in the maintenance fee?

Drift monitoring, scheduled evals, model upgrades, workflow edits, compliance patches, and an SLA. Insurance plus continuous improvement.

How fast can we be live?

≤ 30 days for most Pack deployments. A Pack Diagnostic delivers in 2 weeks.

Can we start with just training?

Yes — Workshop tier is designed for exactly that. Most clients progress to a Pack within 90 days.

Do you work in English or Spanish?

Both. Training, docs, and agents are bilingual by default for LatAm deployments.

Do you replace our existing AI vendors?

No — we sit between your people and your infra. We work alongside your Azure, AWS, or internal platform teams.

Your company,
AI-native —
department by department.

Start with a 30-minute call, or take the one-pager back to your team first.

Book a call →
Typical first deployment: ≤ 30 days · Maintenance SLA · Stack-agnostic · LatAm-compliant