Real work, running in production

The work — and the numbers we moved.

Real engagements, not pilots dressed up as case studies. AI our clients’ people actually adopted, manual work removed, results measured in hours and euros — built on the tools they already owned.

Featured case · energy sector

70% of the staff weren’t using the AI they had. Two months later, three teams were working twice as fast.

Before

70%

of employees weren’t using the AI they already had

After

≈2×

productivity across three teams — same work, half the time

3
departments empowered — HR, back office, finance
3 wks
to run the role-based workshops
2 mo
to roughly double the teams’ output

We audited an energy-systems firm and found that 70% of employees weren’t using AI at all. We built an adoption map, then in three weeks ran role-based workshops for three departments — HR, back office, and finance. Within two months, productivity in those teams had roughly doubled: people were doing the same work in half the time.

And it kept spreading. As colleagues saw the results, more of the company got curious about AI — so we stayed on, helping each department push its usage further. Adoption didn’t just land; it started to grow on its own.

The portfolio

More of what we’ve shipped.

Each one built on the tools the client already owned, live in production — not a demo. We show the work and the real numbers; client names are withheld where we don’t have clearance to publish them.

~40 hrs/week saved per automation · 3 systems live in 3 months · no new hires

When one secretary held an entire engineering firm together — until we mapped the work.

150-person B2B engineering firm, nuclear energy sector, two countries

Three production automations live in three months. ~40 hours of manual work removed per automation. No new hires needed as the firm grew.

We hired one secretary to do the work of five — and somehow the answer wasn't hiring four more. The systems they wired into our existing tools just keep running, and we've grown without a single new back-office hire.
Operations Director·European Nuclear Engineering Firm
-30 hrs/week of ticket entry · zero misrouted requests

Client emails become Wrike tickets — automatically, cleanly.

Mid-sized creative agency

Inbound client requests classified, routed, and ticketed into Wrike with the right project code. No re-typing.

We stopped re-typing client emails into tickets. The bridge does it cleaner than we did — and never forgets the project code.
PM Director·Mid-Sized Agency
4 hrs/day → 15 min · no quality drop

Daily social content shipped in 15 minutes instead of half a day.

Consumer brand

Daily posts drafted, designed, and queued. Marketing lead reviews + ships in minutes.

Daily content used to be the thing I most resented. Now I approve in fifteen minutes what used to take half a day.
Marketing Lead·Consumer Brand
-60% repeated questions to People Ops · 2× faster onboarding

New hires get answers in Slack — before they ask twice.

Mid-market enterprise (HR Ops)

Onboarding questions answered in-channel, sourced from internal docs. Time-to-productivity dropped sharply.

Our onboarding wasn't broken — it was just slow because every new hire had the same questions. The agent in Slack answers them faster than I do, and it learns from what people actually ask.
Head of People Ops·Mid-Market Enterprise
-12 hrs/week on meeting admin

Meeting lifecycle from scheduling to recap, automated.

Internal services team

Scheduling, prep notes, recording, and structured recap handled end-to-end. Nothing falls through.

Most of our admin time was meeting scheduling and writing it all down after. Both of those got handed off without anything falling through the cracks.
Operations Lead·Internal Services Team
~5 days → ~2 hours per cycle · every invoice traceable to source

Invoice processing cut from five days to about two hours — every entry traceable.

Finance back-office, B2B services

Supplier invoices were keyed and matched by hand — roughly five working days per cycle. We built capture-and-match on the Microsoft Power Platform they already ran; it now takes about two hours, and every posted invoice traces back to its source.

What used to be a five-day slog through invoices runs in about two hours now — and I can point an auditor straight at where any number came from. My team stopped keying and started reviewing.
Finance Operations Lead·B2B Services Firm
Zero missed leads · -8 hrs/week of triage

Inbound leads stopped getting buried.

Mid-sized service business

Every inbound email gets classified, scored, and surfaced to the right person with context — no manual triage.

We weren't missing leads on purpose. They just got buried. Now every inbound lands as a task with the right context attached — nothing slips.
Owner·Mid-Sized Service Business
100% call coverage (was ~5%) · same standard for every rep

Every sales call gets the same review — not just the lucky ones.

B2B software sales org

Sales calls automatically scored against the playbook. Coaching is consistent, not vibes-based.

QA used to be a manager listening to maybe one call in twenty. Now every call gets the same review — and the team trusts the feedback more because it's the same standard for everyone.
Head of Sales·B2B Software Company

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