Build on what already works
We evaluate your eCommerce platforms, apps, CRMs, support systems and ERPs to define how to connect AI and which changes the integration requires.
Deskrive AI · Integration
Artificial intelligence that works inside your systems
We connect AI models to your platforms, applications and workflows to automate tasks and improve your users’ experience. We start with the systems your business already runs and identify where to integrate assistants, agents, classification or intelligent search, with measurable goals.
- AI models connected to your systems and data
- Assistants, agents and automation under your control
- Pilots with clear criteria and a plan for production
Your systems. Your data. New capabilities.
AI connected to your business processes
An integration creates value by addressing a specific need: helping your team find information, answer questions or automate tasks. We design workflows with defined permissions, cost visibility and human review where needed.
At Deskrive, we design and implement this integration, from identifying opportunities and building a pilot to deploying it in production. We work with OpenAI, Anthropic, Gemini, Azure and open source options to suit each use case. The architecture and intermediary APIs can be owned by you.
Validate before scaling
We start with a focused pilot involving chat, an agent, classification or automation to test assumptions with real data and less risk.
Control costs, data and providers
When the project calls for it, we centralize model calls through your own API, with logs and usage limits. We design that layer to make provider changes easier, depending on model compatibility.
International reach, focused on your operations
Deskrive works with businesses in different countries. We design each integration around your processes, systems and teams, with goals and deliverables agreed from the start.
Software built by other teams
We also integrate with software built by other teams. We assess the system and available data to determine whether an initial analysis and documentation phase is needed.
What AI Integration covers
Together, we define the capabilities your business needs and tailor the project scope accordingly.
Discovery and initial architecture
We review infrastructure, available data, viable integrations and tasks that AI could improve. We determine whether the use case calls for conversational AI, information retrieval, automation or a combination.
Model and technology selection
We evaluate OpenAI, Anthropic, Gemini, Azure and open source alternatives based on response quality, cost, speed and project requirements.
Generative model integration
We connect large language models (LLMs) through APIs to support conversations, generate content, extract information or summarize documents within your systems.
Assistants connected to your company knowledge
We use retrieval augmented generation (RAG) so assistants can draw on your manuals, knowledge bases or catalogs to compose answers, with access governed by defined permissions.
Agents and workflow automation
Workflows where AI classifies requests, assigns tasks, drafts content or performs agreed steps across tickets, emails, documents and quotes, with your team involved when needed.
An AI layer under your control
Where the project scope calls for it, we build an intermediary API that you own to connect your systems with one or more providers and centralize logs, costs and usage policies.
Data prepared for AI
Data cleaning, organization and updates. When the use case requires it, we prepare search indexes so assistants can find relevant information in your documents.
Architecture prepared for AI
We define APIs, data structures and independent components to make it easier to introduce AI and evolve it alongside your systems.
Testing, production launch and handoff
We test response quality, permissions and data handling, with cost and error monitoring according to scope. We document the integration and prepare the handoff to your team or ongoing support through Deskrive Care.
How we deliver your AI integration
From the first use case to an integration your team can operate.
- 01
Discovery
Business goals, systems, data, risks and success criteria.
- 02
Design
Prioritized use cases, architecture, models, boundaries and acceptance criteria.
- 03
Pilot
An initial version to validate a real workflow, with agreed goals and timing.
- 04
Integration
Connections to systems, APIs, permissions and interfaces across the agreed channels.
- 05
Production
Security review, performance and cost monitoring, and a controlled launch.
- 06
Ongoing improvement
Improvements to prompts and workflows, new use cases, and handoff to your internal team or ongoing support through Care, as agreed in the contract.
We start with the process you want to improve: support, sales, content, search or internal operations. If another team built the system or the data is scattered, we scope and quote the preparation work needed before integration.
Common integration scenarios
One integration framework, different ways to put it to work in your business.
Conversational AI: chat and agents
For: Customer service, sales, onboarding and support.
May include: An assistant connected to an AI model, rules for transferring conversations to your team, and integration with your website, app, CRM or support system.
May include Intercom, WhatsApp or voice with ElevenLabs, depending on scope.
Internal knowledge assistant
For: Teams searching policies, manuals, wikis or technical knowledge bases.
May include: Source organization, permissions, answers with document references and a basic administration panel.
Workflow automation
For: Email and ticket classification, data extraction from documents and draft quotes.
May include: Automatic request classification and assignment, connections to existing tools and logs to track each task.
Intelligent eCommerce and websites
For: Stores and portals already in operation.
May include: Semantic search, personalization, shopping assistance and AI content assistance, without replacing your eCommerce solution.
API to manage AI usage
For: Businesses using several providers or preparing to scale usage.
May include: Your own API connecting multiple providers, with cost limits, authentication and usage metrics.
Products and apps with integrated AI
For: New or existing web and mobile apps that need AI capabilities on the device or on a server.
May include: AI features within your product. If you also need to build the app, we scope and quote its development as an additional service.
Each scenario describes possible coverage. The exact scope is defined in the quote.
We measure what matters in production
We agree on the indicators relevant to your use case and how to measure them. Depending on scope, these may include:
- Queries resolved by the assistant and transfers to your team.
- Model response times and errors.
- Cost per conversation, task or period.
- Response quality, user feedback and inaccuracies detected in responses.
- Adoption: active users and weekly queries.
- Security incidents or data leaks, according to the agreed design.
A fit for businesses that…
- Have platforms, apps or workflows in use and want to add AI without a complete rebuild.
- Need a focused pilot before committing to a wider rollout.
- Want assistants or automation connected to real company data.
- Run eCommerce or support operations and want faster responses while retaining control.
- Prefer APIs and architecture under their control.
- Want a technology partner with international reach who connects products, systems and operations.
What we need to get started
Technical access, sample data and environments are requested during project kickoff.
- 01
The system or channel you want to improve: website, app, CRM, support, eCommerce or internal processes
- 02
The specific problem: support, sales, search, documents or another workflow
- 03
Whether data or documents exist, and who manages them
- 04
Whether Deskrive or a third party built the software
Beyond integration: products, data and ongoing support
We connect your AI integration with the rest of your project. Additional services are quoted based on your needs.
Accelerated AI MVP
If you need a new product or module with AI, we build a usable first version to test your hypothesis before expanding development.
Explore serviceDeskrive Labs
If you do not have a product yet, we build your MVP through Deskrive Labs. AI integration requires an existing system or one being developed to support these capabilities.
Explore serviceAI Code Rescue
An unstable prototype generated with AI needs to be stabilized first. This work is assessed as a separate project scope.
Explore serviceIntegrations with specific platforms
Intercom, ElevenLabs and WhatsApp can be included in an integration. Together, we define the channels and tools your operations need.
Systems and web application development
If you need a web app or platform for your AI integration, we define and quote its development as part of the project.
Explore serviceSAP integration
We connect AI workflows to SAP data and processes, according to the available interfaces, permissions and agreed scope.
Explore serviceDeskrive Care
After launch, integration monitoring, adjustments and ongoing support can be contracted separately, with agreed scope and support hours.
Explore serviceAnalysis and documentation
If software built by another team lacks sufficient documentation, preliminary analysis is quoted first.
Let's discuss your integration
Tell us where you want to integrate AI
Tell us about the system or channel, the problem to solve and any provider you already use. We assess your case and define the next step together.
A tailored quote based on your systems, data and scope.
Frequently asked questions
How is an AI integration priced?
We prepare a tailored quote based on the systems, usage volume and project complexity. We agree on the included deliverables and any additional services before starting.
Do you integrate existing models or develop custom models?
We start with existing models to address your use case. Training or tuning a custom model requires a data assessment and a separate scope of work, which we propose when the project calls for it.
Will you replace our processes?
Not by default. AI is introduced where it reduces friction, such as drafting, classification or initial responses. Critical steps can remain subject to human approval.
Which providers do you work with?
We work with OpenAI, Anthropic, Gemini, Azure and open source alternatives, depending on the use case. We evaluate compatibility with your systems and options to make future provider changes easier.
How long does it take?
Timing depends on the systems involved, data availability and project requirements. We define the pilot and integration timelines during discovery and include them in the quote.
Will Deskrive host the AI?
Infrastructure is defined for each project. We prioritize accounts and keys under the client’s control and agree on which services will process the data, where the integration will be hosted and who will manage it.
Does this include Intercom or ElevenLabs?
It can include them within the agreed scope. We evaluate the provider, channel and connections your operations need.
Do you work on systems built by other teams?
Yes, subject to evaluation. Insufficient documentation may require preliminary analysis.