Home/Control plane/SAPTIVA Studio
The control plane · Entry point

Where your context becomes intelligence.

SAPTIVA Studio is the control plane. Your organization builds, operates and governs its AI here, and runs it where you decide.

Documents, databases and systems of record become agents, workflows and an AI Lab, on your data, inside your perimeter or any cloud. Credit origination. KYC. Customer operations. Market intelligence. Research. Delivered by an embedded Forward Deployed Engineer, in production in two weeks, every decision on the record.

You keep the map.

YOUR CONTEXT SAPTIVA STUDIO YOUR INTELLIGENCE Documents Databases Systems in in in Agents Workflows AI Lab out out out out Savant RAGster Dictaminador Your agentsand workflows RUNS WHERE YOU DECIDE Cloud On-premises Hybrid Air-gapped SIGNED RECORD ✓ signed YOUR CONTEXT Documents Databases Systems in SAPTIVA STUDIO Agents Workflows AI Lab out YOUR INTELLIGENCE Savant RAGster Dictaminador Your agentsand workflows RUNS WHERE YOU DECIDE Cloud On-premises Hybrid Air-gapped SIGNED RECORD ✓ signed
  1. Your documents, databases and systems go into SAPTIVA Studio.
  2. Studio builds agents and workflows, operates them and governs them.
  3. Savant, RAGster, Dictaminador and your own agents and workflows come out.
  4. They run in the environment you choose.
  5. Every decision leaves a signed record.
Scattered context goes in. Studio builds, operates and governs. Working intelligence comes out, and runs where you decide.

14 days
Day 1 to production

The integrator quotes twelve months. Studio applications live alongside your data and your teams in fourteen days, because an FDE lands on day one and does not leave until it works.

Three surfaces · One control plane

Agents

A copilot on your data and your models, cloud or inside your perimeter. Your people ask; it answers from your documents and systems. Every exchange is on the record.

Workflows

For the managers who go further. Automate the complex work, step by step, with human review where you want it. Credit origination runs this way today, in production.

AI Lab

For your data scientists. Fine-tuning, notebooks, classic machine learning, on your own cluster. No ticket to the cloud team. Ibero runs its research here.

Applications

Built for the workflows that actually move the business.

SAPTIVA Studio applications are not templates waiting to be configured. They are production-grade systems shaped by the workflows of the region's largest enterprises. Pick one. Deploy it. Extend it.

BANKING · LENDING

Credit Origination Copilot

Underwriting, risk analysis, and decision support for credit officers. Reads the application, pulls the context, explains the recommendation, logs the rationale. Every decision auditable.

COMPLIANCE · ONBOARDING

KYC Document Processing

Extracts, classifies, and validates identity and compliance documents. Flags inconsistencies. Routes exceptions. Structured output into your existing systems of record. Shaped by banking and insurance deployments in production.

CUSTOMER OPERATIONS

Customer Operations Agents

Handles first-tier customer inquiries. Resolves the routine, escalates the complex, keeps full conversation history, respects your compliance and tone guidelines. Deployed today across banking and insurance.

ENTERPRISE KNOWLEDGE

Private Knowledge Systems

Internal copilots trained on your documents, policies, and historical decisions. Private RAG, semantic search, role-based access. Never leaves your environment.

BUILDER · SDK

Custom Workflows

The Studio SDK is how your team extends the platform. Build industry- or process-specific applications on the same control plane and the same audit trail as the production apps.

Savant, RAGster and Dictaminador ship inside the three surfaces. Savant is the market-intelligence copilot. RAGster is the private knowledge system. Dictaminador is document processing and triage. The AI Lab is where Ibero runs eight funded research projects on its own cluster.

Deployment

From first conversation to production. Fourteen days.

Every SAPTIVA Studio deployment ships with a Forward Deployed Engineer. They land on day one and do not leave until the workflow is live, auditable, and owned by your team. This is what those two weeks look like.

DAY 01 FDE lands. Embedded inside your team.Discovery begins.Data access confirmed.Sponsors aligned. Day 1 Day 3 DAY 03 Workflow scoped. First use case scopedagainst real data. Studioprovisions the environment.Compliance path opened. DAY 07 Running in dev. Application runsin development.First outputs reviewedwith the business owner. Day 7 Day 10 DAY 10 Compliance review. Security, auditand risk sign-off.Residency and dataflow verified. DAY 14 In production. Live. Audited.Owned by your team.The FDE stays for transfer,then expansion begins. Day 14 FDE embedded DAY 01 FDE lands. Embedded inside your team.Discovery begins.Data access confirmed.Sponsors aligned. DAY 03 Workflow scoped. First use case scopedagainst real data. Studioprovisions the environment.Compliance path opened. DAY 07 Running in dev. Application runsin development.First outputs reviewedwith the business owner. DAY 10 Compliance review. Security, auditand risk sign-off.Residency and dataflow verified. DAY 14 In production. Live. Audited.Owned by your team.The FDE stays for transfer,then expansion begins. FDE embedded
  1. Day 1. FDE lands. Embedded inside your team. Discovery begins. Data access confirmed. Sponsors aligned.
  2. Day 3. Workflow scoped. First use case scoped against real data. Studio provisions the environment. Compliance path opened.
  3. Day 7. Running in dev. Application runs in development. First outputs reviewed with the business owner.
  4. Day 10. Compliance review. Security, audit and risk sign-off. Residency and data flow verified.
  5. Day 14. In production. Live. Audited. Owned by your team. The FDE stays for transfer, then expansion begins.
  6. FDE embedded: the engineer is there for the whole run, day 1 to day 14.
From the day an engineer lands to the day the first workflow is live: fourteen days.

Two weeks holds because an FDE owns the whole outcome, Studio removes the replatforming work, and the applications were built for these workflows in advance.

The FDE Model

In large enterprises, no tool reaches production without someone inside owning it.

That person is a Forward Deployed Engineer. Not a consultant. Not an integrator. Not a customer success manager. An engineer who sits at your offsite, who knows your workflows, who owns the outcome in writing. This is how enterprise AI actually ships.

The FDE is your technical account manager. The next workflow, the enablement and the product feedback run through that one person.

EMBEDDED

Inside your team from day one.

The FDE works from your office, your Slack, your ticketing system. They attend your standup. They meet your compliance committee. They understand the internal politics before the first deployment goes live.

ACCOUNTABLE

Owns the outcome, not the hours.

An FDE is measured on workflows in production and in use, with the business impact measured, not hours logged. No SoW extensions. No scope games. If the workflow isn't in production, the FDE isn't done.

TRANSFERS

Leaves behind a team that owns it.

The first workflow is done when your team can operate, extend and audit it without us. Knowledge transfer is the exit criterion. The FDE stays on the account for the next one.

THE MODEL EVERYONE JUST BOUGHT

Palantir invented the role. In 2026 the industry paid to copy it: OpenAI DeployCo, $4B. AWS, $1B for a forward-deployed organization. Microsoft Frontier Co, $2.5B and 6,000 people inside client organizations. It is the model we run from day one.

OPENAI · MAY 2026 · AWS · JUN 2026 · MICROSOFT · JUL 2026
WHAT AN FDE IS NOT

Interested in becoming a Forward Deployed Engineer at SAPTIVA AI? Write to hr@saptiva.com.

Production Evidence

Studio applications, in production today.

Not wireframes. Not mock-ups. The surfaces below are running right now inside our customers.

MIS FLUJOS · DASHBOARD
Studio dashboard showing 5 AI workflows with status and daily volume.
Five workflows. One surface. Customer support · Credit origination · Risk analysis · Regulatory extraction · Reconciliation. Status, volume, and alerts at a glance.
PLANTILLAS · TEMPLATES
Pre-built workflow templates for banking covering credit origination, risk, compliance, and reconciliation.
Prebuilt for the workflows that repeat. Credit, KYC, risk, reconciliation, marketing, research. Templates tuned on production deployments, not generic starter kits.
CONSTRUIR · WORKFLOW
Visual workflow builder composing an LLM step with an Agent step in the SAPTIVA Studio canvas.
Composable. Not wizard-ware. LLMs, Agents, conditionals, human-review gates, loops. Assembled on canvas, deployed to production, audited at every step.
EJECUCIONES · LIVE LOG
Live execution log in Studio showing real customer queries being processed in real time.
Every run, logged. Live runs with latency, tokens, and step-by-step traces. The audit trail your CFO and your auditor will both ask for.
Customer deployments
MEXICO · INSURANCE · IN PRODUCTION

ACMES

Document processing and customer operations AI running at ACMES, the broker insuring Mexico's operated airports. SAPTIVA Studio apps against ACMES workflows, delivered by an embedded FDE.

Read the deployment →
CENTRAL AMERICA · FINANCIAL SERVICES · ACTIVE

MultiMoney

KYC document readers, conversational agents, and credit origination. Active production deployment. The workflows did not reach production until Studio ran them where the group decided.

Read the deployment →
Get In Touch

Pick a workflow. We'll ship it.

Credit origination. KYC. Customer operations. Market intelligence. Something adjacent. If you're accountable for a workflow that needs AI and a budget that cannot wait six months, an FDE responds within 48 hours.