Portfolio product · Open-call ready

Verellix

AI-enabled execution intelligence for bottleneck detection, workflow optimisation, and founder operating discipline.

In development · Pilot-ready
Developed by We Doing Good LtdProduct brandApplicant company: We Doing Good LtdSpinout status: not separate unless stated

Project role

Verellix turns execution activity into decision-ready intelligence.

Verellix is a product developed by We Doing Good Ltd to help founders, operators, and organisational teams detect where execution is slowing down, why the slowdown matters, and what should happen next.

The product focuses on bottlenecks, workflow drift, delayed decisions, unresolved dependencies, milestone risk, accountability gaps, and operational signals that are often visible too late in ordinary task-management or reporting tools.

Operator: Verellix is developed and operated by We Doing Good Ltd, a Finland-based limited liability company. Verellix is a product and venture brand inside We Doing Good Ltd unless a separate legal entity is explicitly created.

Open-call relevance

Why Verellix fits innovation and pilot funding calls.

Verellix is suitable for open calls focused on AI, workflow optimisation, productivity, operational resilience, SME digitalisation, founder support, and decision intelligence.

Challenge fit

Bottleneck detection

Detects delayed milestones, repeated blockers, dependency failures, approval delays, and execution patterns that reduce throughput or delivery reliability.

AI use case

Execution interpretation

Converts operational signals into risk narratives, severity classifications, intervention recommendations, and management-ready summaries.

Pilot value

Workflow optimisation

Supports controlled pilots where teams compare baseline visibility, decision latency, escalation quality, and bottleneck resolution before and after Verellix.

Problem

Teams often see status before they understand risk.

Most tools record activity, but managers still need to interpret whether a delay is harmless, structural, urgent, or likely to affect delivery. This creates decision latency, inconsistent escalation, and avoidable execution failure.

Solution

An interpretation layer between work and action.

Verellix analyses structured execution signals and produces bottleneck alerts, workflow risk explanations, dependency maps, escalation briefs, and intervention playbooks.

Core capabilities

What Verellix is being built to do.

The product is designed as a governed execution system, not a passive dashboard or generic founder community.

01

Decision records

Captures important decisions with owner, rationale, assumptions, expected outcome, review date, and follow-through status.

02

Milestone governance

Tracks execution commitments, stuck points, dependencies, delivery drift, escalation needs, and accountability gaps.

03

Bottleneck intelligence

Classifies bottlenecks by likely cause, such as capacity, dependency, decision, data, handover, or process-design constraints.

04

Risk narratives

Explains what an execution signal means, why it matters, who is affected, and what may happen if no action is taken.

05

Intervention playbooks

Recommends next steps such as clarification, escalation, replanning, resource adjustment, pricing review, or dependency resolution.

06

Portfolio visibility

Helps founders and operators compare execution health across multiple initiatives, companies, projects, or internal workstreams.

Pilot plan

How Verellix can be tested in a funded open-call setting.

01

Workflow mapping

Define the pilot workflow, user group, baseline bottlenecks, data points, decision moments, and success metrics.

02

Signal configuration

Configure the execution-signal intake: milestones, blockers, dependencies, handovers, approvals, incidents, and review cadence.

03

Detection and interpretation

Test bottleneck classification, severity scoring, risk narratives, and recommended interventions with users or expert reviewers.

04

Validation and reporting

Measure detection accuracy, time-to-diagnosis, decision latency, perceived visibility, intervention usefulness, and commercial readiness.

Potential KPIs

Decision latency

Reduction in time between problem signal, interpretation, and recommended next action.

Potential KPIs

Bottleneck visibility

Improved user clarity on where work is blocked, why it is blocked, and which downstream outcomes are affected.

Potential KPIs

Intervention quality

Number and usefulness of validated recommendations that help teams resolve or reduce workflow constraints.

Grant-facing statement

Verellix is the product. We Doing Good Ltd is the applicant and operator.

For funding applications, Verellix should be described as an AI-enabled execution intelligence product developed by We Doing Good Ltd. The product is relevant to calls focused on workflow optimisation, AI-supported decision-making, SME productivity, operational resilience, and founder execution systems.