Manageable business impact through AI

The AI partner that raises your profitability

Get profit growth ahead of your competitors by embedding AI: higher conversion, faster processes, lower costs, growth algorithms that work.

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See how the product works

DemoAplora Sales Outcome

The full picture for your sales leader

Sales funnel

Conversation

Qualification

Proposal

Deal

Performance trends

Conversion · revenue · team

From causes to managing outcomes

Analysis, actions and metrics in one view

A demonstration of Aplora Sales capabilities. Charts are illustrative, not client results or a growth forecast.

How your growth becomes manageable

Expertise, speed and proven methodologies, combined with AI, turn analytical data into a plan of action — and that plan into profit growth.

First we count
The economics and the solution are built on analysis and validated before any rollout begins.
Then we embed
The solution is taken to a result inside your processes rather than left on paper.
We control everything
We watch what happens as it happens: metrics, actions, and their effect on revenue.
And we deliver growth
More efficient commercial processes return more profit.

AploraOther approaches

Diagnose

Model

Prioritise

Validate

Implement

Scale

Aplora
steps 1–6 of 6
From baseline to scale
Other approaches
steps 1, 2 of 6; partly: 3, 4, 5
No end-to-end delivery: separate services that stop short of a result

AI has levelled the playing field

Big data is no longer the privilege of big companies. What was once available only to corporations is now within your reach with AI.

AI is discussed at every conference. Yet in most companies it remains a demo feature — a chatbot, a couple of agents, or simply a polished presentation.

Attendees watching the screen at the ProductCon conference. — Conference context photo · Process illustration

Conference context photo · Process illustration

Aplora is not AI for AI’s sake.

Every implementation is tied to a specific profit growth metric: we measure the effect and refine the solution until it delivers a result.

Aplora turns this opportunity into concrete solutions for your business: without an in-house data team or years of investment in infrastructure.

AI has levelled the playing field: Before / Now
Criterion	Before	Now
Who could afford it	Only corporations: analytics departments, data scientists and BI systems	Any business — without hiring a separate team
How decisions were made	Based on experience, intuition and retrospective reports	Based on data visible in the moment
Cost of getting started	Months of implementation and expensive infrastructure	Weeks, without capital investment in infrastructure

Real results from clients we work with

We always take what we set out to do through to a result.

B2B, Light manufacturing
Losses$51,000
The client's own estimate of deals lost during the assessment period
Where deals and resources were lost
- No access to the decision-maker
- Qualifying data not collected
- No next step agreed
- Objections left unanswered
- The call is never reviewed afterwards
Relative weight of drivers, not a share of monetary losses
Aplora Sales
- +25%Conversion to a sale three months after rollout
- +72%Conversion to a sale after six months
Client figures: compared with the pre-rollout period in the same funnel
Details & testimonial
The team's result rested on two people; the rest closed several times less on the same workload. Nobody knew what exactly the leaders did differently: conversations were not reviewed, and the gap was explained away as “experience”.
«Even before we rolled out Aplora Sales, the assessment report showed us what our best salespeople actually do differently. We set out to scale that across the whole team, so that every rep works like the best one. The result did not keep us waiting: three months after the rollout conversion was up 25%, and after six months — 72%. And that was only one of the twenty constraints Aplora pointed out to us.»
Commercial director, manufacturing (NDA)
View the case — The best salesperson's playbook rolled out across a manufacturer's whole sales team
B2C
Aplora's own EdTech operation
Where deals and resources were lost
- A few recordings a month are reviewed out of hundreds
- The reasons for a no stay a hypothesis
- Commitments are captured from memory
- The CRM is filled in after the fact and only partially
Relative weight of drivers, not a share of monetary losses
Aplora Sales
- ×3.3Conversion from hot leads
- −40 ppShare of calls that went nowhere
LearnIT figures, CommaCRM export
Details
Conversation quality was judged from a few recordings a month. The reasons for a no stayed a hypothesis, commitments were captured from memory, and the CRM was filled in after the fact and only partially.
View the case — Conversation review in an admissions funnel: how we validated the system on ourselves
B2C
LearnIT, our own EdTech operation
Where deals and resources were lost
- Channels are compared on cost per lead, not on the sale
- A cheap channel wins by bringing people who don't buy
- Nobody counts the losses between stages
- Marketing and sales draw the funnel differently
Relative weight of drivers, not a share of monetary losses
Aplora Sales
- ×3 in Google's favourGoogle versus Facebook lead quality by conversion to sale
- ×4–5Conversion at four or more touches versus one
An observation from LearnIT's own funnel data over the period reviewed
Details & testimonial
Channels were compared on cost per lead rather than on the eventual sale, so a cheap channel looked better than an expensive one even when it brought people who don't buy. Nobody counted the losses between stages: for marketing the funnel ended at the webinar, for sales it began at the call.
«For the first time we saw the whole funnel: it became clear where we lose money and what to actually do — where to move budget, whom to follow up and which touches genuinely produce sales.»
Head of sales and growth, LearnIT
View the case — The funnel from lead to purchase in one picture: where the money was actually leaking
B2C
eCommerce and retail · Under NDA
Where deals and resources were lost
- Operators are absorbed by repeat questions
- Complex enquiries get lost in the queue
- The knowledge base goes stale faster than it is fixed
- More volume runs straight into hiring more operators
Relative weight of drivers, not a share of monetary losses
AI Workflow Automation
- −25–40%Enquiries that reach an operator
- −30–50%Ticket handling time
Client figures: before and after on the same support channels, adjusted for seasonality
Details & testimonial
Operators were absorbed by repeat questions, complex enquiries got lost in the queue, and the knowledge base went stale faster than anyone could fix it.
«We used to just hire people. Now half the routine questions close themselves and the operators work the hard cases.»
Operations director, eCommerce
View the case — An online store's support front line stopped growing with its order volume
B2B
Marketing and digital agencies · Under NDA
Losses≈$5,000 a month
The agency's own estimate from their rates
Where deals and resources were lost
- 8–10 days a month go into reports instead of projects
- Approvals drag, and payments move with them
- Every new client means overtime or a hire
- Figures in the report disagree between sources
Relative weight of drivers, not a share of monetary losses
Document & Reporting Automation
- 10 days → 5 minutesTime to prepare a monthly report
- +30%Projects handled by the same team
Agency figures: a before-and-after measurement of the process
Details & testimonial
For the first 8–10 days of the month the team assembled reports instead of doing project work. Approvals dragged, payments moved with them, and every new client meant either overtime or a hire.
«The first 8–10 days of the month used to go into reporting. Now reports assemble in minutes, everything is standardised and transparent, and the team spends its time on client results rather than manual assembly.»
Agency principal (NDA)
View the case — The first ten days of the month stopped going into client reports
B2C
EdTech · Under NDA
Where deals and resources were lost
- A new module or an update takes weeks
- The load on methodologists grows faster than the team
- The product ages between releases
- A student sees an example on a library version that no longer exists
Relative weight of drivers, not a share of monetary losses
Document & Reporting Automation
- ×10Speed of releasing and updating material
- −50%Share of manual work in content production
Client figures: measured on preparing material against an existing course standard, not on designing a syllabus from scratch
Details & testimonial
A new module or an update took weeks. The load on methodologists grew faster than the team, and the product aged between releases: a student would see an example on a library version that no longer exists.
«Updates and new modules used to take weeks and consume the methodologists. Now content ships faster, to a standard, and with a clear quality gate.»
Product lead, EdTech (NDA)
View the case — Course materials stopped going stale faster than they could be updated
B2C
EdTech · Under NDA
Where deals and resources were lost
- Applications have no priority — strong leads are lost in the queue
- Conversation quality is checked on a sample
- Follow-up depends on whether the advisor remembers
- The manager spends hours listening to recordings
Relative weight of drivers, not a share of monetary losses
Aplora Sales
- +22%Progression to a second contact
- +5 ppOverall conversion to a deal
Client figures: before and after within the same sales funnel
Details & testimonial
There was no priority, and strong leads were lost in the queue. Conversation quality was checked on a sample, follow-up depended on whether the advisor remembered, and the manager spent hours listening to recordings instead of working the bottlenecks.
«Everything is transparent now: I see the bottlenecks and the reasons for losses immediately, without hours of review. The team focuses on deals and I focus on where the growth is.»
Head of sales, EdTech (NDA)
View the case — A school's sales team stopped depending on any one advisor's discipline

See more of what Aplora has delivered

Product

Aplora products for growing your business

Each solution is a tool embedded inside your existing processes, not a separate layer bolted on outside the system.

Aplora Sales
Moves the metricConversation-to-deal conversion
Demo
Aplora Sales demo interface. The figures on screen are sample data, not a client result.
Turns calls, CRM data, and your own sales methodology into a system that drives management action.
- call transcription and structuring
- lead qualification
- methodology adherence
- commitments and next actions
Discuss this solutionExplore this solution
AI Workflow Automation
Moves the metricOutput per employee
Process schematic
1. Event
2. Processing
3. Review
4. Action
A process schematic, not a screenshot of a finished system. Built for your workflows.
Removes repetitive manual steps from end-to-end business workflows.
- leads and CRM: form → qualification → record → task
- customer requests: classification → response → escalation
- documents and approvals: validation → routing → archive
- scheduled operational reporting
Discuss this solutionExplore this solution
Document & Reporting Automation
Moves the metricTime to produce a document or report
Process schematic
Document · checks
PDF
DOCX
XLSX / CSV
HTML / E-mail
A process schematic, not a screenshot of a finished system. Built for your workflows.
Cuts the time spent producing documents and reports and moving data between systems.
- PDF
- DOCX
- XLSX and CSV
- HTML and e-mail
Discuss this solutionExplore this solution

Ready solutions that work, for leading industries

Our solutions were built and tested in real industries, and they account for the specifics of each.

Didn't find your industry?

Write to us and we will build a solution for you — quickly and with your specifics in mind.

Write to Aplora

Integrations already in place

The CRMs we have already integrated with.

We support whole classes of systems

CRM
ERP
Telephony
Messengers
Microsoft 365
Google Workspace
Databases
Email and SMS
Task trackers
Invoicing systems
Zapier, Make and n8n
In-house APIs

The logos are systems we have already integrated with. Anything else we check during the assessment: what matters is not only that an API exists, but which fields are writable.

Who it is for

Clear value for the roles that run the company

Every commercial function grows with Aplora: each role has its own job and its own question the data cannot answer today.

Owner and CEO
Predictable revenue and profit growth
You no longer have to guess why revenue was there yesterday and gone today. Aplora shows what is actually happening instead of another monthly round of blame between sales and marketing. You see the real causes and know what to do to keep growth going.
- revenue and gross margin
- lead-to-deal conversion
- customer acquisition cost
Read more
Commercial director
One picture instead of scattered reports
The commercial director owns the funnel end to end — from lead to closed deal — yet the data about it usually lives in different people's heads. Aplora assembles that commercial system on data, so decisions come from metrics rather than recollection.
- stage-by-stage funnel conversion
- deal cycle length
- share of deals with an agreed next step
Read more
Finance director
Transparent economics of commercial operations
The gap between the best and the average exists in every department, but nobody usually prices it. Once the work is described in measurable terms, the difference between best-case and average stops being a feeling and becomes an amount.
- customer acquisition cost
- gross margin by line of business
- cost per operation in a process
Read more
Head of sales
- 01
  The end of depending on stars
  Aplora finds what exactly your best rep does differently and turns it into a model the whole team applies — the expertise stops living in one head and reaches everyone in the department.
- 02
  Less manual control, more manageability
  The head of sales sees who is losing deals and why, which leads to work first, and gets an objective picture without hours spent listening to calls and assembling reports by hand.
- 03
  New hires reach quota sooner
  Every rep gets a review of their own calls and a concrete development path instead of anecdotes retold at the standup — onboarding stops depending on the manager's personal time.
- conversation-to-next-step conversion
- spread of results between reps
- time for a new hire to reach quota
Read more

How we work

Every stage produces an artefact that stays with you and a decision that is taken on it. Even if you carry on without us, the stage has already returned something.

01
Work through the problem
Stays with you
A process map
02
Fix the starting state
Stays with you
A baseline and its assumptions
03
Model the business effect
Stays with you
An effect model
04
Choose what goes first
Stays with you
Priorities with reasoning
05
Validate on real data
Stays with you
A prototype and success criteria
06
Implement and train the team
Stays with you
A working process
07
Measure and decide whether to scale
Stays with you
A report and the next wave

FAQ

What happens in the first meeting?

Thirty to forty-five minutes about one specific workflow: what happens in it today, where it limits the business, what data and systems exist. We clarify the business problem, check whether the task fits what we do, and decide with you whether a next step makes sense. It is not a full opportunity map of your company — one call does not produce that.

What is free and what counts as paid assessment?

The first meeting is free: clarifying the problem, checking fit, forming an initial view of data and systems, and deciding on a next step. A paid assessment means interviews with process owners, a study of data and systems, a fixed baseline, an opportunity map, economic hypotheses, prioritisation, architecture options, risks and a validation plan. The difference is scope of work, not quality of attention.

How is the first workflow chosen?

Against seven criteria: what loss or constraint it removes, how often the operation repeats, what data is available and usable, what happens when it goes wrong, which systems are involved, who will use the result, and what baseline can be fixed. A workflow that fails on data or on ownership does not go first, however visible it looks.

What if the hypothesis doesn't hold?

That is a legitimate and useful outcome. The stop criterion is defined before validation starts, alongside the baseline and the target. If the hypothesis fails, we show exactly what did not work and why, and that knowledge carries into the next initiative. Stretching a pilot in the hope the numbers will arrive on their own costs more than stopping.

How much time will it take from our team?

Most during assessment and calibration: interviews with process owners, access to data, and working through contested cases with us. Involvement drops after that but never reaches zero — the solution needs an owner on your side, or it will not survive the first process change. The actual load depends on the workflow and is estimated before work begins, not discovered along the way.

What data do you need?

Only what the workflow cannot be understood without: for conversation analysis, recordings and scoring criteria; for documents, the sources of each value and the templates; for routing, request history and rules. Scope is minimised rather than collected just in case. If the data isn't there or isn't usable, we say so before work starts.

How is security handled?

Data minimisation, encryption in transit and at rest, role-based access, access logging, an agreed retention period and deletion procedure. The hosting model is chosen to fit your requirements, including running inside your own perimeter. Specific terms are fixed in the contract before work begins.

Can you work with our CRM or ERP?

We work with systems that expose an API or another workable exchange route — exports, direct database access, file drops — including in-house builds. We check yours during the assessment: what matters is not just that an API exists, but which fields are writable and how permissions work. Promising an integration before that check would not be honest.

Who owns the code and the data?

The data stays yours. Rights to the solution are fixed in the contract before work begins — our default position is that you must be able to keep running and developing it without us. We hold the architecture to the same requirement: the solution should not depend on a single vendor, ourselves included.

What happens after go-live?

Go-live is not the end of the work. What follows is measuring the actual effect over an agreed period, monitoring quality and cost, clearing exceptions, and deciding whether to scale or stop. If you want us to run that, it is a separate ongoing engagement with regular prioritisation and executive reporting. If you want to run it yourselves, we hand over documentation and train the solution owner.

Grow your profit with an AI partner that delivers

We will show what Aplora does on real scenarios, answer your questions, and discuss how we can help you get to a result.

The AI partner that raises your profitability

The full picture for your sales leader

First we count

Then we embed

We control everything

And we deliver growth

Aplora is not AI for AI’s sake.

Aplora Sales

AI Workflow Automation

Document & Reporting Automation

Owner and CEO

Commercial director

Finance director

Head of sales

Work through the problem

Fix the starting state

Model the business effect

Choose what goes first

Validate on real data

Implement and train the team

Measure and decide whether to scale