
Allan Wilson
President - Team Alert
"I was really impressed with how much they cared about our product."
Every sprint, your engineers handle work that has nothing to do with the product: pulling data, processing documents, pushing content between systems. We've automated 11 of those workflows in production – using Claude OCR, MCP, and Databricks. The time they save goes back to engineering.
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Every invoice, delivery note, or contract that lands in someone's inbox costs 20–30 minutes of focused attention. Multiplied across a month, that's engineering and ops time spent on extraction, verification, and manual entry – none of it on the roadmap, all of it recurring.
Your CMS doesn't update itself. So someone on the team handles it – manually pulling assets, formatting, uploading, checking. It's not complex work, but it blocks the people who should be building something else.
The weekly CRM digest, the ops summary, the finance report – each one requires someone to pull data from multiple sources, format it, and send it. Every week. Without fail. Without automation.
You've scoped it, you know what needs to change, and it never makes the cut. Client deliverables take priority, the team is stretched, and the manual workaround stays in place for another three months.
Three engagement models. Each one stands on its own – no obligation to move to the next phase unless it makes sense for your team.
Process map
A visual overview of your highest-cost manual workflows, ranked by time and frequency.
Top 3 automation targets
Prioritised by impact and implementation effort – so you know exactly where to start.
Time savings estimate
A concrete number of hours saved per month, per workflow. Not a range.
Stack assessment
A clear picture of which tools in your existing stack can be connected without rebuilding anything.
Wondering whether your use case is a good fit for an agent prototype? – Talk it through with AI
Production-ready automation
Built on Claude OCR, MCP, or file pipeline depending on your pack, connected to your existing stack.
Before/after metrics
Every build is benchmarked against your current process so you see the delta on day one.
Deployment & handoff
Your team gets full documentation and knows how to extend it independently.
Integration layer
Connects to your existing finance system, CMS, or storage without a rebuild.
Not sure which build pack fits your stack? – Ask AI to help you choose
Ongoing workflow expansion
New automation targets from your backlog, prioritised and built in sprint cycles.
Pipeline maintenance
Monitoring, edge case handling, and updates as your documents, systems, or volumes change.
Coverage reporting
A monthly summary of hours saved, workflows running, and next targets in the queue.
Team enablement
Your engineers stay in the loop and can extend automations independently over time.
Wondering how a retainer model works for automation? Ask AI to walk you through it
Here's what clients say about working with us.
The tools below have all been used in production automations. If your stack looks different, that's fine – we work with what you have.







The engineering decisions behind AI systems that actually ship. Architecture patterns, integration approaches, and production lessons from real deployments.
Product Builders | AI-Native is a community for practitioners building digital products in the AI era – run by Boldare, powered by 20 years and 350+ products of hands-on experience.
We regularly go live with guests from product, design, and engineering for honest conversations about what building AI-native actually looks like in practice. Written recaps, articles, and show notes from every session live on Substack.
Every automation pattern we bring to a client has already run in production at Boldare. You're not getting a proof of concept – you're getting a tested, measured workflow with known edge cases already handled.
We benchmark every automation against your current process and give you a concrete before/after metric on delivery. Not a projection – an actual delta you can report upward.
We build for maintainability from day one. Full documentation, clean handoff, and your engineers trained to extend the system independently – no dependency on us to keep it running.
We don't push a preferred toolset. The build is shaped by your existing systems, your data requirements, and your team's capabilities – not by what's easiest for us to deliver.
Describe the workflow. We'll tell you whether it's automatable, how long it would take, and what it would save.
Technical and commercial questions we hear most often from engineering and operations teams considering automation.
A good automation target has three traits: it's repetitive, it's rule-based, and it costs your team meaningful time every week. Document processing, scheduled reporting, and content publishing typically tick all three. The Automation Opportunity Audit exists specifically to answer this question – you walk away with a ranked list of targets and a concrete hours-saved estimate for each. Digital workflow automation covers the full range – from document extraction to scheduled reporting and content publishing. The audit maps all of it and tells you where the highest return is.
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Boldare S.A. z siedzibą w Gliwicach, przy ul. Zwycięstwa 52, zarejestrowana w Sądzie Rejonowym w Gliwicach, X Wydział Gospodarczy Krajowego Rejestru Sądowego pod nr KRS 0000914518, NIP 6312698829, REGON 38958555. Wysokość kapitału zakładowego i wpłaconego 100 000,00 zł.