How does a custom AI workflow automation platform differ from off-the-shelf tools like Zapier or Make?

Off-the-shelf tools handle simple linear triggers well. They break when workflows require AI reasoning, handle multi-page documents, or need conditional logic across systems. A custom workflow automation platform is built around your specific processes, connects to your existing stack, and runs reliably in production without workarounds.

Will this work with our existing systems?

Yes – we build around your current stack, not against it. Whether you're on a custom ERP, a SaaS finance tool, or a homegrown CMS, the integration layer connects to what you already have. No migrations, no rebuilds required.

What does intelligent document processing actually involve?

It means extracting structured data from unstructured documents – invoices, contracts, delivery notes, forms – using an LLM as the parsing layer instead of template-based OCR. The output is structured JSON that feeds directly into your existing system. It handles layout variations, multi-language inputs, and edge cases that traditional OCR breaks on.

How do you handle sensitive documents and data privacy?

Every pipeline is scoped with your data requirements in mind. We can build on-premise or within your existing cloud environment, apply anonymisation at the extraction layer, and ensure outputs never leave your infrastructure if required. Compliance with DSGVO and EU AI Act requirements is part of the scoping conversation, not an afterthought.

Can we start with just one workflow instead of committing to a full programme?

Yes. The ASSESS and BUILD phases are independent – you can commission an audit without committing to a build, and a single-workflow build without committing to a retainer. Most clients start with the audit because it tells them which workflow to prioritise first.

What happens after the automation is live?

You get full documentation and a handoff so your team can maintain and extend the system independently. If you want ongoing support – new workflows added, pipelines maintained, monthly reporting – the SCALE retainer covers that. There's no obligation to continue beyond the initial build.

Cut the repetitive work with AI Workflow Automation built on real results

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.

Who has benefited from Boldare's expertise?

See the companies that trusted Boldare to get it done.

Every sprint, the same manual work slows you down

You've seen the hours disappear. The question isn't whether to automate – it's which process to start with.

Intelligent document processing is possible. Your team is still doing it by hand.
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.
Content goes live when someone remembers to publish it
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.
Your reporting lives in three systems and none of them talk to each other
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.
The fix keeps getting pushed to next sprint
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.

EXPLORE YOUR OPTIONS

Business process automation built around your stack

Three engagement models. Each one stands on its own – no obligation to move to the next phase unless it makes sense for your team.

ASSESS

AI opportunity sprint

In one week, you'll know whether your AI idea is worth building – and what it will take to build it. We run a technical feasibility check, map the integration points with your existing product, and deliver a working proof of concept with an ROI estimate your stakeholders can act on. No slide decks. No discovery that turns into a second discovery. A working POC and a decision-ready output.

1 week → feasibility + integration map | 2 weeks → full POCFixed-price with credit – sprint fee applies toward BUILD if you continue. Pre-paid retainer – for recurring discovery sprints across your product areas.

What you get:

1
Technical feasibility assessment
A clear answer on whether your AI idea is buildable on your current stack – and what would need to change if it isn't.
2
Proof of concept
A working prototype that demonstrates the core AI behaviour in the context of your product – not a demo built in isolation.
3
Integration map
A documented overview of how the AI feature connects to your existing systems, APIs, and data sources.
4
ROI estimate
A business case your stakeholders can evaluate – projected impact, implementation cost, and recommended next step.

Start with a Sprint →

BUILD

AI product development

Our AI product development process covers LLM integration, RAG systems, AI agents, or a full MVP – from brief to production. Strategy, UX, and engineering in one team.

Scoped AI feature: 4–8 weeksAI MVP from scratch: 3–6 monthsFixed priceMilestone-based fixed priceT&M

What you get:

1
Scoped feature or MVP
Working software in production – not a prototype handed off to another team to finish.
2
LLM integration / custom model
The right AI approach for your use case – RAG, fine-tuning, LLM orchestration, or agent development – selected and implemented by the same team.
3
UX for AI features
Interaction design that makes AI output trustworthy and usable – not just technically functional.
4
QA & production readiness
Tested, documented, and deployed. Ready for real users from day one.
5
Handoff documentation
Your team can maintain, extend, and iterate on everything we build – without us in the room.

Tell us what you're building →

SCALE

AI Platform Development

Your AI feature works in production. Now it needs to handle more users, more data, and more use cases – without breaking, drifting, or becoming a maintenance burden your team can't manage. We build the infrastructure, monitoring, and governance layer around what you've already shipped.

4–12+ monthsMilestone-based fixed priceFixed-scope phases + rolling retainerT&M

What you get:

1
Scalable AI infrastructure
Cloud-native architecture that handles production load – designed for the data volumes and latency requirements of a platform, not a feature.
2
Model monitoring & evaluation
Continuous tracking of model performance, output quality, and drift – so your AI keeps working as your data and user behaviour evolve.
3
Multi-model orchestration
Architecture that coordinates multiple AI models and agents across your product – without coupling that makes every change a risk.
4
EU AI Act & DSGVO compliance layer
Data residency, audit trails, and governance documentation built into the platform – not retrofitted after a compliance review flags the gap.
5
Ongoing development retainer
A dedicated team that continues to build, improve, and extend the platform as your product evolves.

Ask AI what your AI platform needs to scale →

Time to stop automating around the problem

Book an Automation Opportunity Audit and walk away with a clear map of your highest-cost workflows and a concrete hours-saved estimate – a starting point for any workflow automation solution

Talk to our Automation Team

Trusted by product teams across industries

Here's what clients say about working with us.

Allan Wilson

President - Team Alert

"I was really impressed with how much they cared about our product."

Jerome Defillon

Chief Technology Officer – Novolyze

"We were impressed with their capacity to embrace an unknown domain and challenge the strong assumptions presented."

Norbert Baumann

VP R&D – Sonnen

"They treat the customer portal as their product and this resulted in the high quality of their work."

Fabio Zecchini

Chief Technology Officer – Musement TUI Group

Boldare delivers results that meet our standards and expectations."

Christian Jennewein

Head of Engineering – BlaBlaCar

"Their customer-focused, Agile approach inspired us, and we discovered that we shared a similar mindset."

Head of Software Development

Prisma

"They had a very short ramp-up time and were dedicated to delivering."

Zvonko Grujic

Director Digital Engineering – Maxeon Solar Technologies

"I feel that my opinions and observations matter and that the team will adjust their actions based on our feedback."

See more on Clutch

4.8 / 5.0
58 verified reviews

Every review independently verified by Clutch.

Production-tested tools, adapted to your architecture

The tools below have all been used in production automations. If your stack looks different, that's fine – we work with what you have.

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CASE STUDY

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COMMUNITY

Where product teams figure out the AI era together

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.

JOIN THE COMMUNITY

Why teams choose Boldare for automation

We practice what we preach. Our AI workflow automations have been built for our own internal processes and extensively tested before offering them as a service. Every pattern we implement has been tested across document workflow automation, invoice processing, and content publishing – and refined on real data.

We've solved these problems for ourselves first
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.
Every build comes with a number
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.
Your team owns it when we leave
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.
The stack follows your architecture
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.

Tell us which workflow is slowing you down

Describe the workflow. We'll tell you whether it's automatable, how long it would take, and what it would save.

Customer DevelopmentAleksandra Krzyżakbusiness@boldare.com

Frequently asked questions about AI Workflow Automation

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. AI 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.

client relationships

verified Clutch reviews

percentage of clients who return for another project

years in business

Cut the repetitive work with AI Workflow Automation built on real results

Who has benefited from Boldare's expertise?

Every sprint, the same manual work slows you down