LANARS
AI Executive IntelligenceAll sources unifiedAsk-anything assistant

Your whole company. One screen. Powered by AI.

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.

The architecture

Every system you already run, finally read from one source of truth

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.

The architectureLiveInternal systemsUnified data layerExternal feedsERPCRM & pipelineFinance & billingHR & headcountOperationsSupport & ticketsProduct analyticsMarket dataFX & ratesCompetitor signalsIndustry & public dataAI cockpitInsights feedAI assistantAction itemsThe architectureInternal systemsExternal feedsERPCRM & pipelineFinance & billingHR & headcountOperationsSupport & ticketsProduct analyticsMarket dataFX & ratesCompetitor signalsIndustry & public dataAI cockpitInsights feedAI assistantAction items
The old operating model

Still assembling decisions from a dozen dashboards, spreadsheet exports and a Monday meeting? That's the old operating model.

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.

Old operating model

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.

New standard

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.

  • A dozen dashboards nobody syncs

    ERP, CRM, finance, ops and product analytics each tell a slightly different story. Reconciling them is a job, not an insight.

  • Spreadsheet exports, stale by Monday

    Decisions ride on a CSV someone pulled on Thursday. By the time it reaches the board, the numbers have already moved.

  • Analysts building decks, not analysis

    Your sharpest people spend the week formatting slides and chasing sources instead of answering the question that actually matters.

  • Decisions on gut, not on data

    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.

What to expect

Realistic ranges from real engagements

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

    Answers in seconds, not days

    "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

    One number everyone agrees on

    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

    Decisions move faster

    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

    Payback in one to three quarters

    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.

How it works

From every source to one executive view, in four moves

No data-warehouse rebuild, no year-long programme. Four steps take you from disconnected systems to a live executive cockpit your leadership actually opens.

  1. Connect every source

    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.

  2. Unify into one model

    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.

  3. AI reasoning layer

    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.

  4. Live executive cockpit

    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.

What you get

The executive cockpit, and everything that runs inside it

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.

  • Live

    One executive cockpit

    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.

  • Daily

    AI insight feed

    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.

  • Ask anything

    Ask-anything AI assistant

    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.

  • With owners

    Action items with owners

    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.

  • Real-time

    Anomaly alerts

    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.

  • Monthly

    Monthly executive summary

    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.

  • Mobile access

    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.

Who it's for

One view, read three different ways.

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.

  • CEO

    Run the whole company from one screen

    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.

    What you get
    • A live executive cockpit across every function — revenue, cash, ops, people, product — instead of twelve tabs and a Monday recap.
    • Plain-language insights that say what changed, why, and what to do — not just another chart that needs interpreting.
    • Ask the assistant anything ("why did margin drop in March?") and get an answer traced back to the underlying systems.
  • CFO

    Close the gap between the numbers and the reasons

    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.

    What you get
    • One reconciled source of truth joining ERP, billing, payroll and bank with external market and FX data on top.
    • Anomaly alerts on spend, cash and margin the day they move — not when the month-end pack lands.
    • Board-ready summaries generated from live data, with every number drillable to the transaction behind it.
  • COO

    See operations the moment they drift

    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.

    What you get
    • Cross-functional operational KPIs — throughput, SLAs, utilization, backlog — unified from every tool your teams already run.
    • Action items with named owners pushed out of the cockpit, so an insight becomes a task instead of a note.
    • Early-warning signals when delivery, capacity or quality start to slip, while there's still time to act.
The team

The people behind the platform

Sources & integrations

It connects to the systems you already run the company on

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.

  • ERP & Finance

    The ledger of record. Revenue, margin, cash position and accruals pulled straight from the books — not from a slide someone made last quarter.

    • SAP S/4HANA
    • NetSuite
    • Dynamics 365
    • Tripletex
  • CRM & Sales

    Pipeline, win rates and forecast — reconciled against what finance actually recognised, so the number in the board pack matches the number in the bank.

    • Salesforce
    • HubSpot
    • Pipedrive
    • Close
  • HR & People

    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.

    • Workday
    • BambooHR
    • Personio
    • HiBob
  • Ops & Support

    Ticket volume, SLA breaches, incident load and time-to-resolution — the early warning system that moves before churn shows up in revenue.

    • Zendesk
    • Intercom
    • Jira Service Management
    • PagerDuty
  • Product analytics

    Activation, retention cohorts and feature adoption joined to the warehouse, so usage and money sit in the same sentence.

    • Amplitude
    • Mixpanel
    • Snowflake
    • BigQuery
  • External feeds

    Registry data, FX rates, market signals and payment flows — the context that turns an internal number into a defensible decision.

    • Brønnøysund Register
    • ECB FX rates
    • Bloomberg
    • Stripe
  • + Custom & legacy

    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.

  • Built for the C-suite

    One executive view your leadership team actually reads, every morning.

    • CEO
    • CFO
    • COO
    • CMO
    • CIO

No required migration, no rip-and-replace — we read your systems as they are today and tighten the connection as you go.

Customization & hosting

Tune the cadence, the depth, and where it runs

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.

  • Cadence

    How often it refreshes

    From live KPIs on the floor to a single briefing waiting before the board meeting.

    • Real-time
    • Daily
    • Weekly
  • Depth

    How deep each view goes

    Same numbers, three altitudes — so the CEO and the analyst each read the truth that fits them.

    • Executive
    • Operational
    • Technical
  • Delivery

    Where insights reach you

    The cockpit is home base; the rest meets your team where they already work.

    • Cockpit
    • Slack / Teams
    • Email
    • Board PDF
  • Hosting

    Where your data lives

    Built for finance and health: SSO, role-based access, audit logs and a signed DPA, in an EU region — whichever side it runs on.

    • Our infrastructure
    • Your cloud / VPC
    • EU region

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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Questions, answered

Frequently asked questions we get by executives

An AI executive dashboard is a single decision surface that pulls live numbers from your finance, sales, and operations systems, reconciles them, and explains what changed and why in plain language. Unlike a static BI report it answers follow-up questions, flags anomalies before you ask, and links every figure back to the source transaction, so the board sees one version of the truth instead of seven conflicting spreadsheets.

Power BI, Looker, and Tableau are visualization layers: someone still has to model the data, build the dashboard, and interpret it for you. We deliver the answer, not the chart. You ask "why did EBITDA margin drop in Q2?" and get a written, sourced explanation with the three drivers ranked by impact. We can sit on top of an existing Power BI or Looker semantic model, or replace the reporting layer entirely if your team is drowning in dashboard maintenance.

Integrate. We connect to SAP, Oracle NetSuite, Microsoft Dynamics 365, Visma, Tripletex, Xledger, and PowerOffice through their APIs or read-only database access. You keep your system of record exactly where it is. Migration is never a prerequisite, only an option if you are already planning one and want us to help map the chart of accounts cleanly.

Yes. These are the four ledgers we see most often with Norwegian and Nordic clients, and we have production connectors for all of them. We read the general ledger, dimensions, projects, and open items directly, then map your account structure to a normalized model so consolidated reporting works even when subsidiaries run on different systems.

Yes. We connect Salesforce, HubSpot, Pipedrive, and Microsoft Dynamics 365 alongside the ledger, so pipeline, bookings, and revenue live on the same canvas. That is what lets the dashboard tell you a slipping forecast is driven by two stalled enterprise deals in the Dynamics pipeline rather than a seasonal dip.

Yes. We blend internal numbers with external signals such as FX rates, central-bank policy rates, commodity and energy prices, industry benchmarks, and public market data. So when margin moves, the dashboard can separate what you caused from what the market did to you, which is usually the first question the board asks.

No, and we will tell you plainly if a vendor promises otherwise. It removes the manual data wrangling, reconciliation, and slide-building that eats most of an analyst's week, so the people you already pay for judgment spend their time on judgment. Teams that adopt it typically reallocate roughly a day and a half per analyst per week from copy-paste to actual analysis.

Every figure is traceable to the exact source record, document, or transaction that produced it, and the dashboard shows that lineage on click. The AI narrates and ranks drivers; it does not invent totals. If a number cannot be reconciled to the ledger it is flagged rather than smoothed over, so your finance team and auditors are looking at the same trail you are.

Data is hosted in EU/EEA regions by default, encrypted in transit and at rest, with SSO, role-based access, and audit logs so each user only sees the entities and dimensions they are entitled to. We operate under a signed DPA, support GDPR obligations, and can deploy into your own cloud tenant when policy requires it. Your financial data is never used to train shared models. See our {link}privacy policy{/link} for the full detail.

No. Your data stays in your environment and is used only to answer your questions. We do not pool client data, and we do not feed it into any shared or third-party training set. The language models that generate explanations run under enterprise terms that contractually exclude training on your inputs.

Most clients see a working consolidated view within two to four weeks. The first week is read-only connection and chart-of-accounts mapping, the second is validating numbers against your existing close, and from there we tune narratives and alerts to how your board actually reads results. On your side it is mostly granting OAuth access and agreeing the KPIs. Multi-entity groups on several ERPs sit at the longer end of that range.

Pricing is custom, on request. It is built as a fixed monthly platform fee based on the number of connected systems and entities, not per seat, so adding viewers across the leadership team does not inflate the bill. Onboarding is a separate one-time setup fee scoped to your integration complexity. We share concrete numbers after a short scoping call, because a single-entity Tripletex setup and a ten-subsidiary SAP group are not the same project.

If a source system is unreachable or a feed is stale, the dashboard says so explicitly and timestamps the last good sync rather than showing silently outdated figures. Reconciliation breaks are surfaced as alerts with the offending records attached, so your team fixes the source data instead of debugging a black box. Nothing is quietly imputed.

No. We connect directly to your operational systems and build the normalized model ourselves, so you do not need a warehouse, a dbt project, or a dedicated data engineer in place first. If you already have a warehouse such as Snowflake or BigQuery, we will read from it; if you do not, that is not a blocker to going live.
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