In 2026 every source — internal and external — flows into a single executive view. Clear insights, ready-to-act recommendations, and an AI assistant you can ask anything. Embedded in your organization, built by LANARS.
Internal systems and outside markets feed a single governed data layer. Your executive team works from the same numbers, in the same moment — instead of reconciling seven exports the night before the board call.
Every tool added a screen, not an answer. By the time the numbers agree, the week is already gone — and so is the decision window.
A dozen tools, a dozen versions of the truth. Someone exports, someone reconciles, someone presents — and leadership still decides from a slide that was stale on send.
Every source, internal and external, converges into one executive view. Clear insights, ready-to-act recommendations, and an AI assistant you can ask anything — live, not last week.
ERP, CRM, finance, ops and product analytics each tell a slightly different story. Reconciling them is a job, not an insight.
Decisions ride on a CSV someone pulled on Thursday. By the time it reaches the board, the numbers have already moved.
Your sharpest people spend the week formatting slides and chasing sources instead of answering the question that actually matters.
When the real number takes three days to assemble, leadership stops waiting for it. The call gets made on instinct — and the data only confirms it later.
We won't pretend every rollout lands the same. These are the ranges executive teams typically see once the data pipes are clean and the questions are well-formed.
Seconds
Time-to-answer
"What moved EBITDA this month and why" stops being a three-analyst project. You ask in plain language and get a sourced answer before the meeting starts.
1
Source of truth
Finance, sales and ops stop arriving with three versions of the same metric. Definitions live in one place, so the room argues about what to do, not whose number is right.
2-4x
Decision cadence
Monthly reviews become weekly. The bottleneck was never the meeting, it was the week of prep before it. Remove that and decisions compound instead of waiting in a queue.
3-9 mo
Payback period
Most teams recover the build cost within three to nine months, from reclaimed analyst hours and decisions made before the window closed. Faster if reporting is already a known pain.
These are observed ranges from real engagements, not contractual guarantees. Your numbers depend on data quality, how decisions actually get made, and how messy the starting point is. We'd rather tell you that up front than oversell it.
No data-warehouse rebuild, no year-long programme. Four steps take you from disconnected systems to a live executive cockpit your leadership actually opens.
We wire in the internal systems you already run — ERP, CRM, finance, HR, ops — and external feeds like market, FX and competitor data. Every connector is secure, read-only OAuth, so nothing in your stack changes.
Entity resolution and a single semantic layer turn departments that never reconciled into one source of truth. A customer, a cost centre, a quarter finally means the same thing everywhere.
Continuous insight detection surfaces what moved and why, while an ask-anything assistant answers in plain language — with the exact numbers and where each one came from. No dashboard archaeology.
The view lives where your leadership already works and updates continuously — embedded in your org. A decision surface that stays current, not a deck someone refreshes once a quarter.
Not another dashboard to check. A live operating view of the whole company, an AI that reads it for you, and a short list of things actually worth your attention this week.
Every KPI you actually steer by, on one screen: revenue, margin, cash, pipeline, churn, delivery and headcount. Pulled live from your systems, reconciled to a single source of truth, drillable from board level down to the underlying record.
Instead of charts you have to interpret, you get the read: "Gross margin slipped 2.3pts in the Nordics, driven by FX and three discounted deals." Plain language, ranked by impact, with the numbers behind every claim one click away.
Type a question in plain English and get an answer grounded in your own data: "Why did Q2 cash come in below plan?" or "Which accounts are at risk of churning next quarter?" It cites the sources, so you can trust and verify.
Every insight ends in a recommendation, not a shrug. Each one gets a suggested owner, a due date and the expected impact, and syncs to Jira, Asana or Slack so it lives where your team already works.
The system watches the numbers so you don't have to. A spend spike, a margin drop, a stalled pipeline or a support backlog triggers an alert the moment it breaks pattern, with the likely cause already attached.
A board-ready brief on the first of every month: what moved, why, what's at risk and what to decide next. Written by the AI from the same numbers your team trusts, ready to paste straight into the board deck.
The whole cockpit in your pocket. Check the morning read on the way in, ask the assistant a question from the airport, and approve an action item without opening a laptop.
The same unified data layer, framed for the person looking at it. CEO, CFO, COO — each opens the cockpit to the questions they actually have to answer.
The problem todayYou stitch the real picture together from a board deck, three dashboards and whatever the team remembered to flag. By the time it's assembled, it's last week's company.
The problem todayFinance lives in exports. Reconciling ERP, billing, payroll and the bank into one trustworthy figure eats the first two weeks of every month — and external context like FX never makes it in.
The problem todayOps signals are scattered across the support desk, the warehouse system, project tools and a dozen team spreadsheets. Problems surface in the standup, not in the data.




































Sources & integrations
Executive intelligence is only as good as the systems it reads from. We meet your stack where it is — finance, sales, people, support, product and the outside world — and turn it into one answer instead of seven dashboards.
The ledger of record. Revenue, margin, cash position and accruals pulled straight from the books — not from a slide someone made last quarter.
Pipeline, win rates and forecast — reconciled against what finance actually recognised, so the number in the board pack matches the number in the bank.
Headcount, attrition, hiring velocity and fully-loaded cost per team — the inputs behind every plan that depends on people you do or don’t have.
Ticket volume, SLA breaches, incident load and time-to-resolution — the early warning system that moves before churn shows up in revenue.
Activation, retention cohorts and feature adoption joined to the warehouse, so usage and money sit in the same sentence.
Registry data, FX rates, market signals and payment flows — the context that turns an internal number into a defensible decision.
Got a homegrown system, a database nobody documented or a vendor with a hostile API? We build the connector. Whatever you run, we either migrate off them or integrate with them — your call, not the tool’s.
One executive view your leadership team actually reads, every morning.
No required migration, no rip-and-replace — we read your systems as they are today and tighten the connection as you go.
Same cockpit, configured to how your leadership actually decides. Real-time or a Monday briefing. Executive or technical depth. In the cockpit, Slack, email or a board PDF. On our infrastructure or yours.
From live KPIs on the floor to a single briefing waiting before the board meeting.
Same numbers, three altitudes — so the CEO and the analyst each read the truth that fits them.
The cockpit is home base; the rest meets your team where they already work.
Built for finance and health: SSO, role-based access, audit logs and a signed DPA, in an EU region — whichever side it runs on.
Not sure which mix fits? We start from how your leadership actually makes decisions and configure backwards from there — and for regulated buyers in finance or health, we deploy inside your own perimeter so source data never leaves it.
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