What it solves
Turning a process or an idea into a product other businesses pay for needs more than a prototype: tenants, permissions, billing, an API, admin tools, monitoring and a way to ship weekly. We build the platform, put AI features where they earn their keep, and can run it for you under a monthly service.
Typical problems
- A no-code prototype that cannot take real customers
- An internal tool other companies keep asking to use
- A dev agency that shipped code nobody can maintain
- Billing, auth and security built last instead of first
- AI features bolted on without a plan for cost or quality
What changes
An app that was a prototype becomes something you can put in front of customers: tenants and permissions, billing, an API, admin tools, monitoring and a way to ship weekly. Code stays in your repository; we can run it for you under a monthly service or hand it over fully.
Example workflows
Workflows we build regularly in this service. The “what changes” lines describe the process after the build, not measured results; measured results are published only in case studies, with permission.
Internal tool to product
A spreadsheet-and-scripts system that runs your own operation and that peers keep asking for.
A multi-tenant web app with sign-up, plans, billing and an admin panel; your operation becomes the first tenant.
What changes: a product in market in weeks, on the process you already trust.
AI-native SaaS MVP
A one-page idea for an AI product and a list of design partners.
MVP with auth, billing, the core workflow, one AI feature done well, analytics and a feedback loop — shipped in stages.
What changes: paying pilots before the full build is funded.
Platform rescue
A codebase from a previous vendor with no tests, no docs and a rising hosting bill.
Audit, stabilise, document, add CI/CD and monitoring, then a roadmap of improvements shipped weekly.
What changes: a product you can change again without fear.
What gets automated
- Multi-tenant architecture, roles and SSO
- Stripe billing, plans, trials and invoicing
- REST/GraphQL API and webhooks for customers
- AI features: assistants, extraction, generation, search
- Admin, analytics and audit logs
- Hosting, CI/CD, backups, monitoring and an on-call arrangement
Systems we work in
Tools describe the systems we connect; they do not imply partnership or certification.
- TypeScript/Node
- Next.js
- Postgres
- Stripe
- Azure
- AWS
- Anthropic Claude
- OpenAI
- GitHub
Human checkpoints and security
The rules that keep this service safe to run in a regulated firm. They are written into the scope, enforced in the build and described in more detail on the security and data page.
- Security review before any customer data is loaded
- Billing and permissions tested against a written matrix
- Production changes go through CI and a staging environment
- Monitoring and on-call arrangement agreed before launch
What every build includes
The difference between an automation that works in a demo and one that still works in a year.
- Automatic retries when a connected app is briefly unavailable, so nothing is silently lost
- A run log for every execution — what came in, what was decided, what went out
- Failure alerts to Slack or email after repeated errors, with a pause switch you control
- Idempotent steps: running twice never creates duplicates
- Written handover: a one-page map of the workflow, its owners and how to change it
- Built in your own accounts — you keep every credential, licence and asset
How the work is delivered
Map
Current process documented with the people who run it.
Scope
Written proposal, diagram, deliverables, fixed price.
Build
Short stages in your accounts, demo at the end of each.
Launch
Monitoring, alerts and documentation before go-live.
Pricing and engagement
Written inventory, risk register and priced options in 5–8 working days. Fee credited against an option accepted within 30 days.
Auth, billing, security, hosting and monitoring for an app built with AI or no-code tools — or a small product built properly from the start — scoped after a code review. Fixed in writing before work starts; nothing outside scope without your written approval. Half on start, half on go-live.
Monitoring, fixes when an app changes its API, credential hygiene and a monthly health report. Cancel any month.
Deliverables
- Source code in your repository, documented
- Production environment with CI/CD and monitoring
- Admin panel and customer onboarding flow
- Monthly service option: hosting, support, roadmap sprints
Questions
What stack do you use?
TypeScript and Node with Next.js, Postgres, Stripe and Azure or AWS as the default; PHP/WordPress or Python where they fit better. Boring, well-supported choices that other developers can pick up.
Do we own the code?
Yes — in your repository from day one, with documentation. The monthly service is optional and can be cancelled.
How fast is an MVP?
Six to sixteen weeks depending on scope, shipped in stages so the first customers can use stage one while stage two is built.
Can you run it for us?
Yes: hosting, monitoring, backups, support and a monthly roadmap sprint under one service fee, priced in USD.
How does pricing work?
Most engagements start with a fixed-price Automation Reliability Review (from $900). You then get priced options in writing with one price and a delivery date each. Ongoing monitoring and improvements are a monthly retainer you can cancel any month. All prices are in USD.
How quickly can something be live?
A first workflow is usually live within two to three weeks of sign-off. Larger builds are staged so something useful ships early and the rest follows.
What happens when a workflow fails?
Every build ships with retries, a run log and alerts. Anything that does not run as scoped in the first 30 days is fixed at no charge; after that Automation Care covers fixes, or we quote a small fix and turn it around quickly.
Who owns the automations afterwards?
You do. Everything is built in your accounts and documented, and your team is walked through it at handover. You can maintain it yourself or keep us on retainer.