Integrate · AI Implementation
Practical AI features, built into the systems you already run.
Cloudstruct builds AI features into real products and internal tools: assistants, document and data workflows, and integrations with AI services. Each one ships with the logging, review steps, and rollback that make it safe to run in production.
Who it’s for
- Companies that have already decided where AI should create value and need it built
- Teams with an AI pilot that worked in testing but never went to production
- Businesses that need governed, auditable AI, not just a clever prompt
- Companies adding AI to an existing product or internal tool
Problems we fix
What usually brings people to us
- A pilot that impressed in a demo but has no logging, limits, or human review
- AI output that can’t be traced or audited
- An AI feature disconnected from the data and systems it needs
- No plan for what happens when the AI gets it wrong
What’s included
What AI Implementation covers
- Workflow and data readiness review
- AI feature or agent implementation
- Explicit scope, exception handling, and audit logging built in from day one
- A human review step sized to the risk of the workflow
- Production integration, monitoring, and rollback
- Documentation for your team to operate it
How it works
From first call to ongoing care
01
Confirm the workflow is ready for AI
Data, scope, and where a human stays in the loop.
02
Design the governance model
Limits, logging, review, and rollback agreed before the build.
03
Build and integrate
Into your existing systems, not a disconnected sandbox.
04
Monitor and tune after launch
Watch real use and adjust.
How we charge
Fixed written quote
A fixed, written quote for the build. If the use case isn’t clear yet, Discovery & Scoping comes first.
What the cost depends on
- How many workflows and data sources are involved
- The level of human review and audit the risk calls for
- Integration with your existing systems
- AI service usage costs, which are billed by the provider to your account
Every engagement
- A written quote before any work starts
- Changes approved in writing before they’re made
- You own your accounts, code, and content
Who you’ll work with
One point of contact, a team behind it
You get one point of contact from the first call through to ongoing care, with a small, senior team behind them doing the work. We have been building and supporting client systems since 2014, including a franchise’s operations platform and a corporate yoga company’s custom platform, each for more than a decade.
Cloudstruct was founded by Mark Dos Santos, who has also spent 15+ years leading ecommerce and technology teams in-house; his full background is on LinkedIn.
Common questions
How is the cost determined?
By the workflow, the data it needs, and the review and audit the risk calls for. You get a fixed, written quote before work starts. Nothing is billed outside the written quote without your written approval.
Do we need a plan before you build an AI feature?
If the use case is already clear, we start at implementation. If it is not, Discovery & Scoping is the right first step, and it ends with a plan and a written quote.
Can you productionize a pilot built by someone else?
Yes. We review what exists, identify the gaps between pilot and production-ready, and close them.
How do you stop an AI feature making costly mistakes?
Through explicit scope boundaries, exception handling defined before launch, and a human review point sized to the actual risk of the workflow.
Who owns what you build?
You do. Code, configurations, documentation, and hosting and platform accounts are yours once the work is paid for. Accounts stay in your name, and we work through access you grant and can remove at any time.
What happens if it breaks?
Every delivery includes a 30-day warranty: if something we delivered breaks within 30 days of go-live, we fix it at no charge. After that, a maintenance plan covers fixes and monitoring, or you can take the documentation and run it yourself.
Need executive-level technology leadership? Ongoing strategy and fractional CTO work are Mark Dos Santos’s separate advisory practice.
Visit markdossantos.caReady to talk about AI Implementation?
Tell us what you’re working with and we’ll give you a straight read, in writing.