Grupo GDS · Applied intelligence

AI that knows where it is going.

We connect your knowledge, tools, conversations and people so AI can improve the work that matters — with clear boundaries, measurable quality and a human decision-maker when it counts.

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GDS AI control planeHuman-led

Context

Your knowledge, policies, data and business language.

Tools

ERP, CRM, channels and actions connected with permission.

Guardrails

Rules, approvals, evaluations and human escalation.

Learning

Observability, feedback and a roadmap for the next improvement.

AI portfolio

Choose the capability that matches your next business decision. We shape the scope around your process, data and team.

Strategy and priorities

AI readiness and a business-led roadmap

Find where AI can reduce friction, increase capacity and improve decisions before you invest in tools.

Explore capability →

We turn “we want to use AI” into a prioritized opportunity portfolio. We review processes, data, systems, risks, team capabilities and metrics to recommend what to build first, what not to automate and how to measure progress.

What changes

✓Opportunity map ordered by value, effort and risk
✓A clear decision on the first use case
✓A 90-day roadmap and next stages

Common use cases

→Automation prioritization
→Copilot and agent assessment
→Customer-care modernization plan

Connected knowledge

Enterprise copilots grounded in your context

Internal and external assistants that use authorized knowledge, find sources and help teams decide faster.

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We design specialized copilots for operations, support, sales, finance, leadership and technical teams. We connect documents, policies, ERP, CRM and knowledge bases through semantic search and RAG, with user-level permissions and evaluable answers.

What changes

✓Answers grounded in company sources
✓Less time searching and repeating information
✓Operational knowledge available to more people

Common use cases

→Policy and procedure copilot
→Support and knowledge-base assistant
→Product, pricing and availability assistant

Agents and connectors

AI agents and MCP for controlled execution

Connect assistants to your tools so they can query, prepare and execute authorized steps with an audit trail.

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We build agents that operate within clear boundaries: they query systems, propose actions, request approvals and escalate exceptions. When it adds value, we use MCP as a standardized layer for exposing data and tools to AI assistants without losing permissions or traceability.

What changes

✓End-to-end flows with owners and control points
✓Less manual entry between applications
✓Logged and reversible actions where appropriate

Common use cases

→Lead qualification and follow-up
→Ticket and task creation with approval
→Controlled ERP/CRM queries and updates

Customers and conversations

Conversation intelligence for calls, WhatsApp and sales

Turn conversations into signals that improve service, sales, quality and operations.

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We analyze calls, WhatsApp, email and social conversations to find contact reasons, objections, intent, script adherence and improvement opportunities. The output is more than a summary: it is actionable information connected to CRM, support and operations.

What changes

✓Visibility into topics, objections and contact reasons
✓Consistent quality control criteria
✓Automatic follow-up for opportunities and commitments

Common use cases

→Sales and support call QA
→WhatsApp conversation analysis
→Churn, urgency or purchase-intent detection

Operations and documents

AI document and back-office automation

Extract, validate and route document information so your team spends less time on manual entry.

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We design flows that read documents, extract fields, detect inconsistencies, request missing data and send each case to the right system or owner. AI works together with business rules, human validation and traceability.

What changes

✓Less repetitive entry and rework
✓Data ready for ERP, CRM or reporting
✓Visible exceptions assigned to an owner

Common use cases

→Invoices and purchase orders
→Contracts and case files
→Customer or supplier onboarding forms

Trust and control

AI governance, evaluation and security

Make your AI systems measurable, auditable and safer before expanding them to more users or processes.

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We define how an AI solution is approved, tested, monitored and improved. We review data, permissions, prompts, tools, costs, answers, escalation and risks so the system can grow with controls proportional to its impact.

What changes

✓Inventory of cases, models, data and connectors
✓Repeatable quality and security testing
✓Access, usage and escalation policies

Common use cases

→Copilot and agent review
→RAG, embedding and connector security
→Confidential-information controls

People and change

AI adoption and augmented teams

Help your people turn AI into a way of working, not another tool that gets abandoned.

Explore capability →

Adoption is designed around real work. We train leaders and teams, define role-based use cases, create quality guidelines and measure whether new capabilities are used safely and consistently.

What changes

✓Clear use cases by team and responsibility
✓Higher quality in AI-assisted work
✓Shared criteria for reviewing and approving outputs

Common use cases

→Sales and service enablement
→Agent leadership training
→Internal generative AI policy

Productized engagements

A practical path from idea to operation

Start with a focused question, prove value in a real workflow and expand only when the evidence is there.

Start01

AI Readiness Sprint

A focused assessment to choose the first use case with evidence, owners and a clear path forward.

✓Leader and operating-team interviews
✓Value/effort/risk prioritization
✓90-day roadmap
✓Executive decision session

Companies that need to know where to start.

Validate02

AI Pilot

Build and test a real use case with users, authorized data, metrics and controls.

✓Use case and success metric
✓Functional prototype or integration
✓Quality and security evaluation
✓Scale-or-adjust recommendation

Teams ready to prove value before scaling.

Evolve03

AI Operations

Keep your AI solutions useful, safe and aligned as models, processes and needs change.

✓Quality, cost and usage monitoring
✓Prompt, data and workflow improvement
✓New connectors and use cases
✓Ongoing enablement and support

Organizations already running AI in production.

Designed for trust

The control plane behind useful AI

Every engagement connects four layers. This is what keeps an assistant grounded, an agent accountable and an automation useful after launch.

✦

Context

Your knowledge, policies, data and business language.

⌘

Tools

ERP, CRM, channels and actions connected with permission.

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Guardrails

Rules, approvals, evaluations and human escalation.

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Learning

Observability, feedback and a roadmap for the next improvement.

FAQ

Questions leaders ask before investing in AI

Do we need all our data organized before we start?

No. The assessment identifies which data is ready, what needs work and which use case can start with a controlled scope. We do not recommend connecting everything at once.

Does GDS build agents that can take actions?

Yes, when the process justifies it. We design permissions, boundaries, approvals, logging and human escalation before enabling actions.

What role does MCP play in an enterprise solution?

MCP can provide a standardized layer for connecting assistants to authorized tools and data. We evaluate it alongside APIs, identity, security and the existing architecture.

Can you analyze calls and WhatsApp?

Yes. We can design classification, summarization, signal extraction, quality control and follow-up while respecting permissions, data policies and each channel’s scope.

Do you work with our existing systems?

Yes. We start from your ERP, CRM, email, storage, APIs and existing channels to avoid creating another technology island.

Find the first AI workflow worth improving.

Tell us where your team loses time, context or consistency. We will help you decide what to test first.

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