01
Strategy and architecture
We define what to build, why it matters and how to turn it into a viable, integrated solution prepared to evolve.
- 01 Discovery and definition
- 02 Product and technology strategy
- 03 Architecture and roadmap
End-to-end strategy, AI and product development.
One team to define, design, build, integrate and evolve digital products, custom software and AI solutions.
Capabilities
Three capabilities. One technology partner.
Strategy and architecture, artificial intelligence, product and software. Combined around the challenge, without silos or predetermined solutions.
02
Artificial intelligence
We design and implement AI solutions with data, context, evaluation, supervision and real integration.
- 01 AI solutions and products
- 02 Agents and automation
- 03 Document processing and knowledge
03
Product and software
We design and develop digital products, applications and custom platforms from definition through production.
- 01 Digital products
- 02 Custom software
- 03 Integrations and platforms
Services in detail
The capability to decide, build and integrate.
Discovery and definition
A structured view of the business, users, processes, data and existing technology that turns an open challenge into a concrete opportunity.
- Goals, users and context
- Current processes, data and systems
- Opportunities and constraints
- Success criteria and next steps
Product and technology strategy
Definition of the proposition, scope and roadmap needed to move forward with clear priorities before investing in delivery.
- Product vision and scope
- Phased roadmap
- Functional and technical decisions
- Risks, dependencies and adoption
Architecture and roadmap
Design of the architecture, data, integrations and evolution model the solution needs to work over time.
- Application and data architecture
- Integrations and dependencies
- Security, permissions and traceability
- Delivery and evolution plan
AI solutions and products
AI capabilities embedded in products, services and processes to solve a defined and measurable use case.
- Use-case definition
- Experience and behavior design
- Models, data and context
- Evaluation and production launch
Agents and automation
Systems that retrieve information, use tools and execute bounded tasks with permissions, limits and supervision.
- Tasks, tools and permissions
- Available context and sources
- Action traceability
- Human supervision and escalation
Document processing and knowledge
Systems that turn documents and scattered knowledge into structured, searchable information for people, products and agents.
- Ingestion, extraction and normalization
- Classification and validation
- Sources, permissions and citations
- Integration with products and systems
Digital products
Design and development of complete digital products, from proposition and experience through the technology that makes them work.
- Product definition and strategy
- User experience and flows
- Frontend and backend development
- Launch and evolution
Custom software
Applications and platforms built around the business, its rules, its data and its real needs.
- Web applications and platforms
- Internal tools and back offices
- Dashboards, workflows and reporting
- Maintenance and technical evolution
Integrations and platforms
Connections between products, APIs, data and tools so technology works as a system rather than isolated pieces.
- APIs and connectors
- Data synchronization and flows
- CRM, ERP and Drive integration
- Monitoring and error control
What we develop
Products, systems and capabilities for real contexts.
Each implementation is adapted to the business, its users, its data and the way it needs to evolve.
01
Knowledge systems
With citable sources, permissions, evaluation and integration with products and processes.
02
Digital products
Experiences and applications designed around real users and outcomes.
03
Integrations
Between Drive, CRM, ERP, spreadsheets, reporting and internal systems.
04
Document processing
Extraction, validation, classification and human handoff in real flows.
05
AI agents
For bounded tasks, with limits, controlled tools and traceability.
06
Operational panels and reports
Reporting built on real operational data, not on manually prepared reports.
07
Approval workflows
States, owners, alerts and records for processes that currently depend on manual follow-up.
FAQ
Frequently asked questions about services.
What teams most often ask before starting.
Does Tahona always use AI? +
No. AI is a core capability, but it is used when it improves the solution. In other cases the right answer is product, software, integrations or a combination of several capabilities.
Can Tahona take a digital product from start to finish? +
Yes. We can work from product strategy and definition through experience, architecture, development, integrations, launch and evolution.
Can the solution work with the technology already in place? +
Yes. Most projects need to coexist with existing systems such as CRM, ERP, Drive, spreadsheets, APIs, internal data or third-party platforms.
What does a complete AI solution include? +
Use case, data and context, architecture, product, models, evaluation, permissions, supervision, integration and evolution in production.
How do we decide where to start? +
We start from the goal and the context. We define the smallest scope that can validate value, risk and feasibility before expanding the solution.
Contact
Let's discuss the product, system or technology challenge.
A first conversation to understand the goal, the starting point and the most useful next step.
Contact
We review the context, goal and constraints. If there is a clear path forward, we propose the best starting point.
Response within 24 business hours
First opportunity made clear
No commitment or sales pressure
Starting point
The basics are enough. We reply with an initial assessment and the most useful next step.