eng: automations usage up 3× this quarterTurn business signals into decisions, actions and outcomes
Prolens connects your organization’s data, conversations, knowledge and external intelligence to continuously discover what matters, investigate why, recommend what to do, and measure whether it worked.
Illustrative Prolens workspaceEvery screen, figure and investigation on this page is an example built on simulated company data — not a customer result.
Five questions a product owner has every week. Prolens answers all five.
- 01
What changed?
A watched number moves and a signal is raised. Nobody has to notice it first.
- 02
Why did it change?
Candidate explanations are tested against your own systems until one survives.
- 03
What should we do?
One recommendation, with the argument behind it and the explanations that lost.
- 04
Who needs to act?
A ticket with an owner on it, in the tracker your team already works in.
- 05
Did it work?
The number is measured again, and the answer goes back in.
Your organization finally has a memory, a brain, and a feedback loop
Three layers, one system: what the company knows, what it makes of that, and what it does about it — with the result of every action going back into what it knows.
Organizational memory
Everything the company knows.
Threads, transcripts, documents, CRM records, tickets and analytics, held as one record rather than a dozen. An answer in March is built on what the company learned in January.
Organizational intelligence
Understand what is happening, and why.
A watched number moves and a signal is raised without anyone filing it. Explanations are tested against the systems that would settle them. What survives has its evidence attached — the why, not just the what.
Organizational execution
Turn intelligence into action.
A recommendation you can read the argument for, waiting on your approval. Approve it and it becomes a real ticket with an owner. Nine days later the number is measured again.
Prolens doesn’t just answer questions. It learns from what your organization does.
Signal, hypotheses, investigation, finding, independent perspectives, decision, your approval, execution, measured outcome — and the outcome becomes the next signal. Every link is a record you can open, from the number that moved to the ticket someone is working on, and back again.
Investigation Checkout conversion fell 18% week over week.example
SIGNALSIG-4402 · 04:12 · GOOGLE ANALYTICS
1 / 9
Checkout conversion fell 18% week over week
A threshold breach on a watched metric. Nobody filed it and nobody had to notice — the sweep did, and the chain starts here.
THRESHOLD BREACHEDAUTO-RAISED
Everything else stops before the only question that settles it: did it work?
A dashboard tells you the number. A chatbot tells you an answer. An agent goes and does something. None of them comes back nine days later to check the number again — and that check is the only part that makes the next decision better than this one.
Traditional BIstops at the chart
DataDashboard
Traditional AIstops at the reply
DataAnswer
Agentic AIstops at the doing
DataAction
Prolenscloses on the number
DataReasoningDecisionActionOutcomeLearningback into data
Built for organizations where decisions are scattered across systems
Five seats, five different questions, and one engine underneath answering all of them from the same record.
CEO / Founder: “What is changing in my business that I need to know about?”
A weekly digest of what moved and what it means, with the reasoning attached.
COO: “Where are execution problems emerging?”
Delivery and operational blockers escalated before they become a missed quarter.
CPO / CTO: “Which product and engineering signals require intervention?”
Regressions traced to the release that caused them, with a ticket ready to approve.
CRO: “Where are we losing opportunities, and why?”
Funnel and pipeline movement explained against what changed inside and outside.
Strategy / BI: “What signals should change our strategy?”
External shifts reconciled against internal evidence, versioned as the strategy moves.
The same signals, the same investigation, the same record — read from wherever you sit.
One intelligence layer. Multiple specialist perspectives.
Better decisions out of the information your organization already generates.
Panels below show example output on simulated data
Scheduled sweep · on demand · toggleable
Market Intelligence
Sweeps outside the company — news, funding, category movement — and turns it into the opportunities, threats and shifts worth acting on. Often the agent that refutes an internal explanation.
Business Intelligence
Competitor Analysis
Market Research
Scrum Master
Which market segments show the highest opportunity for us right now?
Market Intelligence
Sourced from 41 external signals
Here is where the opportunity concentrates:
Highest: mid-market SaaSStrong demand, growing budgets and low competition — a $12.4M estimated addressable opportunity.
High: fintech platformsHigh intent and spending, but crowded. Best suited to differentiated positioning.
Top opportunity
Mid-market SaaS
$12.4M
Est. addressable opportunity
View segment deep-dive →
Total addressable
$39.1M
↑ 18% vs last quarter
Buying-intent score
82/100
↑ 9 pts vs last quarter
Opportunity score over time
Five specialists are live. Seven more are drawn.
The intelligence layer isn’t bound to a function. Each new specialist is a manifest against the same orchestrator and the same memory, not another product bolted alongside. These seats don’t exist yet, and we would rather say so.
ProductEngineeringCustomer FeedbackFinanceMarketingGRCSecurity
Memory lets your business compound
Every thread, ticket, document and call already says something about the business. Prolens keeps them as one record instead of a dozen, so the answer in March can be built on what was learned in January.
Your week, scattered across a dozen apps.
Prolens keeps every word of it in one memory.
eng: automations usage up 3× this quartersales: prospects keep asking about onboarding
roadmap: onboarding isn't on it
ZRK-482 reopened twice since Friday
P0 revert waiting on QA sign-off
payment step drop-off 4.1% → 19.6%
category traffic flat week over week
Q3 board deck: retention is flat
ops: two churn calls cited setup time
“we run our whole onboarding in Prolens now”Everything it takes to make this work
Meet the agents where the work happens
Mention an agent and get an answer drawn from live program data — investigations, digests, escalations, standups. Slack and Microsoft Teams aren't notification mirrors — they're the whole product, minus the browser tab.
Enterprise control, in the five places an organization asks for it
Isolation, traceability, approval, audit and governance. Nothing here is a setting buried in an admin page — each one is a property of how the system runs.
Zirkly••••••••4b21
LinearSlackGA
Northwind••••••••9c07
JiraTeamsMetabase
NO SHARED CONTEXT BETWEEN PROGRAMS
One program, its own context and keys
A program is the tenant — one per team — holding its own connectors, agents and toggles. Every credential is scoped to it and encrypted at rest, and nothing crosses between tenants.
DEC-1184
Release 2.31 regressed the payment step
↳
FND-9127
↳
PSP-2841
↳
SIG-4402
Every recommendation opens onto its evidence
A decision is not a sentence, it is a record with links: the findings that supported it, the perspectives that argued it, and the signal that started it. Nothing arrives without a chain of custody.
P0waiting on you · 05:38
Revert the payment-step change from 2.31
ApproveRejectDiscuss
NO WORK IS OPENED WITHOUT THIS
Prolens recommends; a person decides
Nothing leaves the system as work until someone authorized approves it — with the whole argument attached, and reject and discuss sitting next to approve. Who cleared it, and when, is part of the record.
v7 · nowNorth Star changed to meaningful buyer connections
v6 · JulTime-to-sale target moved from 14 to 7 days
v5 · JunLean Canvas adopted as the strategy framework
Nothing is overwritten quietly
Strategy documents are versioned with an audit log, and every decision keeps the findings that produced it. You can read what the company believed in June as well as what it believes now.
Market Intelligence
Competitor Analysis
Daily model spend41% of ceiling
Agents you can review, cap and switch off
Each agent carries its own toggle, its findings pass a review gate before they reach a person, and the whole program runs under a spend ceiling. The system does less than it could rather than more than it should.