From a thought.
To finished work.

The report. The analysis. The data export.
We connect your data and business logic to finish the work you ask for, in the format you need.

Book a consultation

Hours of work. Done in minutes.

The manual way
4hours
GatherCheck Do the workFormat & send
With BGA
4minutes

Ask once.
Review the finished work.

Your work. Your format.

Ready to use

Report

See the full picture

Slides / PDF

Analysis

Know what to do next

Answers / Actions

Data export

Take it from here

CSV / Sheets

And the next task on your list.

The morning as it is

Today, a good team
does this by hand.

A supplier pays for a promotion and asks how it went. Someone capable becomes the integration between five systems that do not talk. Watch the day, then watch the middle go.

Today / One recap / By handScripted example · Illustrative timings

Five systems. One person.
Most of a day.

Same recap. No middle.
Four minutes.

The ask stays yours. So does the judgment.
Read the workflow
  1. The ask
  2. Ads export
  3. ERP pull
  4. Stock and prices
  5. Paste and match
  6. Rebuild the deck
  7. Fix the margin line
  8. Send

With the operator: the same request at 09:12; the prepared recap in the thread at 09:16. It gathers the data, applies the company’s definitions, and compiles the deck. People keep the request and the judgment. These times illustrate the workflow, not a delivery promise.

That is not a competence problem. It is a systems problem, and it repeats every week.

The person keeps the ask.
The operator takes the middle.

See the work happen

The answer is in
the missing context.

Watch a question leave the chat, find the facts, and come back with a useful explanation. The film starts as it comes into view. Pause or replay whenever you like.

On demand / From question to explanation
Scripted example · Fictional data

A question in someone’s morning.

The thought becomes a task, right where the team works.

The team’s chatAn illustrative workspace
Commercial teamTrail jacket / Price review
N
NoraPricing lead

Why is our Trail jacket €129 when a competitor sells it for €109?

We’ll check the context behind this.
Your operatorEvidence checked

Our €129 includes delivery. Their €109 becomes €128 at checkout: a €1 gap, not €20. That variant is on backorder; ours is ready to ship.

Recommendation: keep €129. Sales, ad spend, and conversion are stable. A lower price would give away margin without evidence it would improve demand.

REVIEWKeep €129 · Protect margin
Our delivered price€129
Competitor, delivered€128
RecommendationKeep €129
Source notes attached · For human review
NNora has a question
Why is our Trail jacket €129 when a competitor sells it for €109?
One thought. No new tab.
Monday / Your team’s local time
07:30
Commercial watchlist

The schedule starts the work.

OperatorCollect live evidence
Competitor feed
€109 + €19 deliveryMatching variant · Backorder
Stock & fulfilment
Available nowDelivery included · Ready to ship
Margin + sales
Sales curve stableContribution and fulfilment checked
Marketing + analytics
Spend + conversion stableNo demand signal supports a discount
Approved sources · Read-only checks
The evidence changes the picture

The missing €19.

€109 + €19 = €128

Delivery narrows the gap to €1. Stable sales, ad spend, and conversion give us no reason to discount.

Same variant. Same market. Prices include VAT and delivery.
Last time, your team saidInclude delivery in competitor comparisons.Applied to this run ✓

You avoid an unnecessary discount and protect margin. Recommendation prepared; no price changed.

Starts here. Plays at your pace.
Read the full example
  1. The trigger

    Why is our Trail jacket €129 when a competitor sells it for €109?

  2. Live evidence

    Competitor feed: €109 + €19 delivery. Matching variant · Backorder. Stock & fulfilment: Available now. Delivery included · Ready to ship. Margin + sales: Sales curve stable. Contribution and fulfilment checked. Marketing + analytics: Spend + conversion stable. No demand signal supports a discount.

  3. Company logic

    Same variant. Same market. Prices include VAT and delivery. Delivery narrows the gap to €1. Stable sales, ad spend, and conversion give us no reason to discount.

  4. Approved correction

    Include delivery in competitor comparisons.

  5. The explanation

    Our €129 includes delivery. Their €109 becomes €128 at checkout: a €1 gap, not €20. That variant is on backorder; ours is ready to ship. Recommendation: keep €129. Sales, ad spend, and conversion are stable. A lower price would give away margin without evidence it would improve demand.

  6. Finished work

    Keep €129 · Protect margin. You avoid an unnecessary discount and protect margin. Recommendation prepared; no price changed.

It also starts without a question

It also wakes up
on Monday.

Nobody asks. At 07:30 it runs the analysis this company cares about and messages the one person who can act on it, before anyone is at a desk.

On schedule / The Monday watchlistScripted example · Fictional data

From live files to a useful morning.

Read the sources. Find the exceptions. Deliver the actions, before Nora starts her day.

The team’s chatAn illustrative workspace
Nora / Private threadMonday watchlist
N
NoraPricing lead

Every Monday at 07:30, read the approved source files, filter current records, apply the company’s rules, and deliver Nora’s action list.

We’ll check the context behind this.
Your operatorEvidence checked

Morning, Nora. We checked the live data. Here’s where to act today.

Review margin on broken size runs, investigate the declining brands, and check the competitor gaps. Planned clearance is excluded, as you asked. No prices have changed.

LISTMonday watchlist
14 SKUsReview margin
2 brandsInvestigate decline
9 price gapsCheck pricing
Source notes attached · For human review
NNora has a question
Every Monday at 07:30, read the approved source files, filter current records, apply the company’s rules, and deliver Nora’s action list.
One thought. No new tab.
Monday / Your team’s local time
07:30
Commercial watchlist

The schedule starts the work.

OperatorCollect live evidence
Margin after returns
14 SKUs need reviewMostly broken size runs
Sell-through
2 brands decliningThree falling weeks
Competitor prices
9 lines undercutLike-for-like changes since Thursday
Stock + team memory
1 brand excludedPlanned clearance remembered
Approved sources · Read-only checks
The evidence changes the picture

Your morning report. Ready with your coffee.

Live signals + your rules → Monday watchlist

Margin exceptions, sustained declines, and verified competitor gaps are ranked for review. Planned clearance is removed.

Check margin after returns. Look for three falling weeks. Compare like-for-like prices.
Last time, your team saidThat brand is on planned clearance.Applied to this run ✓

Coffee in hand, Nora can start taking action. No dashboard opening, exports, or spreadsheet calculations.

Starts here. Plays at your pace.
Read the full example
  1. The trigger

    Every Monday at 07:30, read the approved source files, filter current records, apply the company’s rules, and deliver Nora’s action list.

  2. Live evidence

    Margin after returns: 14 SKUs need review. Mostly broken size runs. Sell-through: 2 brands declining. Three falling weeks. Competitor prices: 9 lines undercut. Like-for-like changes since Thursday. Stock + team memory: 1 brand excluded. Planned clearance remembered.

  3. Company logic

    Check margin after returns. Look for three falling weeks. Compare like-for-like prices. Margin exceptions, sustained declines, and verified competitor gaps are ranked for review. Planned clearance is removed.

  4. Approved correction

    That brand is on planned clearance.

  5. The explanation

    Morning, Nora. We checked the live data. Here’s where to act today. Review margin on broken size runs, investigate the declining brands, and check the competitor gaps. Planned clearance is excluded, as you asked. No prices have changed.

  6. Finished work

    Monday watchlist. Coffee in hand, Nora can start taking action. No dashboard opening, exports, or spreadsheet calculations.

Built around your business

The difference
is in the middle.

We connect the operator to the business behind the request. That is what makes the result usable.

Reads. Prepares. Delivers.
01Live data
It collects from approved sources and keeps the evidence with the work. Missing facts get flagged.
02Your company’s logic
Your definitions, exceptions, and decision rules shape the result.
03Memory of corrections
Reviewed corrections become reusable instructions for the next run.
04Your format
A skill renders the finished deck, list, or draft your team already knows how to use.
05Defined permissions
We test in a sandbox and begin with read-only sources. Changes to records require separately agreed access. People keep judgment.

Built and operated

Grounded in
production work.

We build and run the systems behind the work. These are anonymized examples from a Nordic multi-brand e-commerce group.

Live business knowledge

Answers with
the business
behind them.

The workConnect live business data with a playbook refreshed nightly.

In productionGround responses in both the current facts and the company’s operating context.

Live sources + company knowledge.
Pricing operations

Commercial
rules that
actually run.

The workBring competitor context, margin guardrails, and seasonal sell-through into pricing.

In productionAn hourly pricing engine with an auditable decision for each SKU.

Company logic, made operational.

Behind the catalog, too. Profit-based ad segmentation and feed-to-creative automation built for daily operations.

Production examples establish the underlying capabilities. The two films above are scripted illustrations, not recordings of a client workflow.

Why this is not an assistant

An assistant talks.
This finishes the work.

Same request, two different things coming back. One is a paragraph you still have to turn into work. The other is the work, with the reasons.

The same question

“Why is our price €129 when theirs is €109?”

Scripted comparison
A general chat tool answers

A direction to investigate.

“There are several reasons a retailer might price above competitors, such as brand positioning, stock levels or margin targets.”

“Compare your pricing data with competitor listings and review your inventory.”

You still have to do the investigation.
The operator delivers

The reason. And the work.

“Our €129 includes delivery. Their €109 becomes €128 at checkout. The actual gap is €1. Their matching variant is on backorder; ours is ready to ship.”

Recommendation: keep €129. Sales, ad spend, and conversion are stable. Discounting would give away margin without evidence it would improve demand.

REVIEWKeep €129 · Protect margin
Avoid an unnecessary discount. Protect margin.

Live data. Your definitions. Your format. Corrections remembered.
It reads, prepares, and delivers. Your team keeps the decisions.

Working with us

After a consultation,
one way a deal
with us can look.

We structure the work differently once we understand the company. This is one shape. It is not the only one, and not every request fits it.

Read this shape in full
01

A written finish line.

What “working” means for this skill is agreed before the build: which request, which data, what the finished piece must contain, who accepts it.

02

A time window.

An agreed period to install, run under real conditions and stabilize. If it is accepted early, the rest of the window is support and tuning.

03

An outcome fee tied to acceptance.

The fee is anchored to the value the accepted result releases, not to our hours. It is written down with the finish line.

04

If we miss, the outcome fee is not due.

Pass: the fee is due. Miss: it is not. Reservation, infrastructure and pass-through costs, if any, are stated separately in the agreement.

Plainly

Some engagements are scoped as retained operating work or a fixed project instead. We choose the shape with you after we have seen the request, the data and the team. Nothing on this page is a quote.

A candid fit decision

A useful first skill
has something to stand on.

We should talk

Real work.
Reachable data.

  • A request or a morning check that keeps coming back.
  • A named owner who knows what good looks like.
  • Live data we can access with your permission.
  • Commerce, agencies, or B2B sales teams.
We will say so if it isn’t a fit

Some work needs
a different start.

  • The task is a one-off, or nobody owns the result.
  • The necessary information cannot be accessed.
  • You need unsupervised decisions from day one.
  • Government, hospitals, banks, pharma, and defence are outside our current focus.

Our services

Start with the work.
Build what moves it.

AI, performance marketing, growth and web development. We start with your constraint and build the system that helps you move past it.

02 / Performance marketing

Performance
marketing.

Paid media strategy and execution, creative testing, profit-based bidding and measurement that connects campaigns to commercial results.

Explore performance marketing
03 / Growth

Growth.

Positioning, pricing, conversion and commercial systems. Find the constraint, test the opportunity and build a repeatable way to grow.

Explore growth systems
04 / Websites and web development

Websites /
web development.

Positioning, information architecture, design and development, with analytics, integrations and the lead system behind it.

Discuss a website

Find a starting point

Could this be
your first skill?

Start with a recurring request or a Monday morning you would like back.

The triggerWhen does the work start?
The groundingWhere does the information live?
A starting point

A request-to-finished-work skill.

Bring one recurring request, its source systems, and an example of the finished output. We can assess whether a skill can complete it on your live data.

Bring this to a consultation

Book a consultation / 45 minutes

Bring the work
that keeps
coming back.

One recurring request. Or one Monday morning you would like back. We will work through it with you.

  1. 01Show us what happens today.
  2. 02Look at the data, rules, and finished output.
  3. 03Leave with a candid fit decision and next step.

Europe-friendly · Remote-first · No pitch theatre

Let’s look at the work.Consultation

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BGA — From a thought to finished work