Your AI transformation partner

Your best people should not be buried in admin.

Elements builds AI systems that give your people time back for their best work.

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Meet VladimirElements Agents · Founder1:30
As seen on
Google Cloud
Companies we work with

Your company is special.
We help you keep it that way.

How we work

Three ways to work together.

AI transformation is a journey. We help you at each step of the way.

01
AI Audit

Identify what to build

We gather your team and go through your core processes to find the bottlenecks, and where AI fits to solve them — with a clear split between what can be automated and what keeps the human touch.

A list of 10+ workflows to build
An impact / complexity matrix to define the order
The tech stack to build the tools on

TakesOne week end to end, and about three hours of your team’s time

02
Custom Development

Get them built

Every week we pick a workflow off the list and build it. We gather feedback and iterate until you feel comfortable sharing it with your team or your clients.

Custom integrations to your data sources
AI workflows embedded into how your team works
Docs and a proper handover

TakesScoped per workflow, from the build order

03
AI Training

Train faster than you can hire

Whether you need to train your business people or your technical people, we run workshops and training programs that get your team building independently.

Exercises built on workflows relevant to you
Real value added to your business right away
A business mindset to find problems worth solving
Claude CodeAnthropicOpenAIDustn8nSupabaseComposioVercel+ more

Not sure which of the three you need?

That is a thirty-minute conversation, not a proposal.

Book a call →
What we build

The types of agents that can fit your business.

Almost everything we’ve shipped is one of these five, or two of them chained together. The audit tells you which ones your business actually needs.

Communications

WhatsApp and email agents that qualify, follow up and book. Inbox triage that routes and drafts, with the sending kept human-confirmed.

Research

Inbound lead qualification, account and market research, and monitoring that watches for the signals you’d actually act on.

Analysis

Document and claim review, decisioning against your own rules, and reporting that arrives already written.

Browser

Automation for the systems that have no API: KYC checks, onboarding, portal updates, the data entry a person does by hand today.

Content

Collateral, product sheets, campaign kits and co-branded pages, generated in days and consistent with the brand every time.

Ideas by industry

Some workflows we’ve built in the past.

These are workflow ideas we’ve built across a few industries. Yours will look different — the audit is what tells you which of them are worth it.

  • Finding and connecting with high-potential clients
  • Copilots to support sales motions
  • Content creation to drive engagement
The foundation

Everything starts with clean AI infrastructure.

To build an AI-first organisation, your existing data has to be integrated first, then made intelligible and accessible to every workflow we build after it. Do that once and each new workflow gets cheaper than the last.

Internal dataEmail inboxes · CRM and ERP · Meeting notes · WhatsApp and Slack
External dataReports · News · Websites · Public registries · Reviews
Knowledge baseInternal docs and wikis · Past cases and examples
ProceduresSOPs · Playbooks · Checklists
In people’s headsKnow-how not on paper yet — interviews, voice notes
StandardsCertifications · Regulations · Industry rules
always
connected
One source of truth
The unifying layer
CleanStandardiseStructureEnrich
Secured in your own cloud
one
endpoint
Workflows build on top
+ the next onecheaper than the last
Agents that answer from your docsCustomers
Self-service portalsCustomers
The Monday reportTeam
ReconciliationTeam
Drafting and inbox triageTeam
New case study · Published on dust.tt

How Nexio Projects reached 88% daily AI usage in four months.

A top-10 boutique ESG consultancy went from scattered AI experiments to 100+ published agents on Dust. Elements was the Dust partner beside them: the platform choice, support through the rollout, then the diagnostic, governance and playbook to scale it.

88%Daily active usageAcross a 45-person team, four months in.
100+Published agentsPlus 70 skills across advisory, sales, marketing and HR.
4–6hSaved per sales rep, weeklyOn research, call analysis and proposals.
50%+Less HR admin timeRecruitment to onboarding, with 95% of everyday HR questions answered without a colleague.

Wondering whether it would work on your workflows?

Bring the one your team complains about most.

Book a call →
Clients

What people say about our work.

“Vlad was instrumental in helping us pinpoint bottlenecks and unlock cost efficiencies across our AI processes and workflows. He asked the right questions, moved quickly and delivered. Highly recommended!”
Felix KeserFelix KeserCo-CEO · Nexio Projects

The audit report was very clear and comprehensive. Vlad was super resilient in breaking our vision down into a set of workflows we can actually build. We came out of it knowing what can be automated, and what has to stay under the control of our creative and strategic people.

TanguyTanguyChief Operating Officer · Global record label

Vlad and his team at Elements completely transformed how we use Salesforce and approach sales. Now our sales team works more efficiently, makes smarter decisions, and closes deals faster.

RERod EspinosaChief Executive Officer · City Supply Houston

Vlad is an amazing developer that delivered extremely fast turnaround. It’s hard to find developers that will think critically about your project and provide their suggestions.

LELeighton EmmonsCofounder · SEO Agency

Working together with Vlad is a pleasure. He’s organized, he understands the client’s needs intuitively, and delivers exceptionally well with what he’s tasked to do.

BLBenjamin LichtOwner · BaseClaims
In public

Where you can see more of our work.

Podcast

Business AI Explained.

Conversations with executives pushing AI into production. Nine episodes live, from Google to VanMoof to Lemlist to ScorePlay.

Listen →
Workshops

Hundreds of operators, every month.

Monthly workshops for owners and operators on AI adoption. Free to attend.

Join the next one →
YouTube

Thousands of AI developers trained.

Weekly videos on the tools and patterns we use in production builds.

Watch →
Featured

Google Cloud case study.

Our fintech agent project was featured in Google Cloud’s case study series.

Watch →

Want to see what the first week looks like?

We will walk you through it. No deck.

Book a call →
Getting started

How an engagement actually runs.

The audit hands you a ranked list of opportunities. Everything after it is the same loop, one workflow at a time.

From the audit · ranked backlog
Inbox triage and routing4 mo payback
Quote drafting6 mo
Document review9 mo
Portal data entry11 mo
+ 6 more, ranked and costed—
pick
one
FROM THE BACKLOGPickBuildIterateShipONE WORKFLOWat a time
Take the top of the list, scope it, build it on your real data, ship it behind the guardrails you agreed. Then back to the backlog for the next one.
Why the order matters

Value compounds as we ship.

Every workflow we build feeds context and knowledge back into the layer underneath. So the next one starts from more than the last — faster to build, and more capable once it is running.

Built on one foundationBuilt ad hocCUMULATIVE VALUETIMEFOUNDATIONWORKFLOWS SHIP ON TOPWith a foundationAd hocVALUETIMEFOUNDATIONWORKFLOWS

Each dot is a workflow shipped. The dashed line is the same programme built ad hoc, where every workflow re-pays the integration cost on its own.

Pricing

What it costs, and how it compounds.

One price up front. Everything else is scoped against what the audit found, because quoting a build before you know what it returns is how projects go wrong.

Step 1 · The audit
€999
  • Three hours of sessions — every workflow walked through
  • The opportunity log, ranked by impact × complexity
  • A sequenced roadmap and the tool stack to build on

Credited to development if you move forward.

Step 2 · The foundation
One-off — priced after the audit
  • Map the data sources and structure the data AI-ready
  • Custom integrations and scrapers built
  • The one source of truth everything reads from

Scope depends on your existing stack. Built once.

Step 3 · Workflows
Custom, per workflow
  • Pick the next workflow off the roadmap
  • Build, test, release — with your feedback
  • Iterated until it is ready for your clients

Repeat down the list — each one cheaper than the last.

Cost per workflow, over time
WF 1WF 2WF 3WF 4WF 5

Not every workflow is a brand-new build. Each one reuses the integrations, the guardrails and the patterns already paid for — so it gets cheaper as it compounds.

Advisory

Sessions as needed

A thinking partner on which tools, what order and who to hire. You or your team do the building.

Hands-on building

The fit for a team of 3

I build the workflows with you — one to two days a week or month, from mapping through shipped and adopted.

The detail

See exactly what you get.

Three engagements written up end to end: what each one covers, how it runs, and what lands on your desk when it closes.

30 minutes · No deck

Book a chat to see if there’s a fit.

Implementing AI can feel overwhelming, and who you do it with matters more than which tools you pick. So don’t be shy, and reach out!

Book a call →