From the first idea to the final closeout. Connect scope, contracts, milestones, payments and people in one platform—with AI agents to move routine work forward.
Product in development. Interactive preview with fictional data.
Bring requests and supporting documents into a clear project context.
Connect obligations, dates and payment conditions to their source.
Prepare a draft with the supporting evidence, ready for review.
Track due dates, prepare reminders and surface overdue items.
Keep commitments, pending requests and paid amounts distinct.
Bring priorities, exceptions and next actions into one clear summary.
Less chasing. Fewer disconnected records. A clearer path from the project requirement to the next approved action.
Scope in a document. Dates in a spreadsheet. Decisions in email.
Link scope, contracts, deliverables, evidence and decisions across the lifecycle.
Find the context before making the decision.
Teams spend time collecting updates instead of acting on exceptions.
AI drafts the update; the project lead validates sources, exceptions and the audience.
Spend less effort assembling the same story.
A payment request arrives without the full acceptance trail.
Connect each request to the contract condition, milestone and written acceptance.
See why a payment is ready—or what is missing.
Actions stay open while ownership and the next step remain unclear.
Agents prepare reminders with an owner and source. Authorized people approve sensitive actions.
Make the next action visible to the right person.
Spreadsheets · email · PDFs · separate approvals
One lifecycle. Connected work. Controlled AI assistance.
These are intended workflows and benefits to validate in a pilot—not measured customer outcomes.
Follow a project from the first idea to final obligations, with contract evidence, payment controls and AI-assisted work along the way.
Built from actual prototype capturesCurrent stage, evidence and the next gate in one view.
Review obligations before approving commercial action.
A source-linked draft, reviewed before anything is sent.
Silent walkthrough with on-screen text. Fictional data; no live AI processing or production accounts.
Choose a project. See where it stands, what is holding it back, and what needs to happen next.
Interactive concept · fictional sample data
madlool / workspaceA connected services rollout across six regional hubs.
Connect contractor submissions to acceptance, milestones and change control.
Acceptance evidence is needed before payment approval.
Evidence, ownership and acceptance stay with each deliverable.
| Deliverable | Owner | Due date | Status |
|---|
These are illustrative records. No client files are loaded.
Keep the approved budget, commitments, payment requests and cash paid distinct.
Payment is not a final project stage. Requests can recur throughout execution. Acceptance and authorized approval remain separate controls.
A risk is a possible future event. An issue needs attention now. Both need an owner.
Actual captures of this interactive prototype—not screenshots of a production SaaS system. Select any image for a closer look.
Know the current stage, the next gate and what needs attention.
Keep the owner, due date and acceptance status with the work.
Distinguish budget, commitment, paid amounts and pending requests.
Review the source clause before activating a proposed obligation.
See assigned submissions and payment requests in the same project.
Focus on exceptions and decisions instead of routine detail.
Every stage builds on the same project record. Configure the gates for your organization—without losing the links between scope, delivery and commercial commitments.
Capture the need, build the case and secure a sponsor.
Turn intent into a delivery plan the team can execute.
Connect approved requirements to the awarded contract.
Coordinate delivery against the approved baseline.
Prove readiness and make the handover complete.
Settle remaining obligations and preserve what was learned.
These controls run across stages. The sequence is configurable—not a one-size-fits-all methodology.
Madlool’s AI agents are designed to work inside the project process: structure documents, prepare actions, monitor deadlines and assemble reports.
Routine steps can follow approved rules. Contract decisions, acceptance and payment authorization stay with the right people.
Scripted walkthrough. No document upload or AI service is connected.Convert a signed contract into a reviewable register of deliverables, milestones, obligations and payment conditions.
A structured register, with clause references and unresolved questions—not unsupported assumptions.
Validate source text, resolve ambiguity, assign owners and approve before the register becomes active.
Your client is not your contractor. Your executive does not need another task list. Build collaboration around responsibility, not duplicate records.
Plan the work, review submissions, resolve blockers and prepare approvals from the project record.
A practical daily workspace.Review evidence, approve deliverables and understand the commitments behind payment requests.
Decisions with context.Submit assigned deliverables, answer review comments and see the status of your own payment requests.
Clear expectations and feedback.Standardize templates, gates and reporting while respecting how different projects operate.
Comparable project records.Understand portfolio exceptions, funding exposure and decisions that need management attention.
An actionable executive brief.Explore illustrative use cases. Each deployment would be configured around the customer’s processes, responsibilities and requirements.
Submissions, changes and payment requests become disconnected across contractors.
Link contract milestones to evidence, review comments, change approvals and payment readiness.
Help the owner see what is ready for acceptance before a payment decision.
Technical deliverables, site readiness and governance gates sit in different records.
Connect technical scopes, vendor submissions, commissioning evidence and handover gates across projects.
Help teams find missing evidence before a readiness review.
Approval history and project status are difficult to reconcile across a public program.
Structure funding gates, decision records, contractual obligations and portfolio reporting.
Help reviewers trace a status or decision back to its supporting record.
Requirements change while vendor milestones and UAT evidence are tracked separately.
Link the approved scope to releases, acceptance criteria, test evidence, changes and go-live readiness.
Help the team understand what blocks acceptance—not just what is overdue.
Design revisions, procurement dependencies and field changes lose their connection.
Connect design deliverables, procurement milestones, approved changes and handover documentation.
Help engineers and commercial teams work from the same approved baseline.
These are workflow examples, not customer case studies, sector certifications or guaranteed results.
Start with a practical lifecycle. Adapt the stage names, approval paths, thresholds, fields and templates to your organization.
Built for a global audience—from growing delivery teams to complex PMOs. Explore in English or Arabic; proposed subscription prices are in USD.
Integration scope and availability are to be agreed. No live connectors are included in this preview.
Start with project operations. Add portfolio control and AI-assisted work as your needs grow.
PROPOSED LAUNCH PRICING · USD · NOT A PURCHASE OFFERStructure the work from initiation to closeout.
Connect project work to contracts and financial control.
Align AI assistance and integrations with your operating model.
Model the value of time released from routine project work. Your inputs drive every result. No hidden productivity benchmark or guaranteed savings.
After adoption and human review allowances.
Released time has financial value only to the extent it is redeployed productively or avoids cost. Validate the assumptions and complete all costs in a pilot.
Baseline hours
People × weekly admin hours × working weeks.
Released capacity
Baseline × addressed effort % × adoption % × (1 − review %).
Value and cost
Released hours × hourly cost. First-year cost = 12 × (software + other monthly costs) + setup.
Economic ROI
(Capacity value − first-year cost) ÷ first-year cost × 100. No ROI is shown when entered cost is zero.
Setup payback uses setup cost divided by monthly capacity value less monthly recurring costs. It is not shown when recurring net value is non-positive. No project-count multiplier is applied, avoiding double-counting the same staff hours.
Excludes unentered costs, taxes, discounting, delivery risk and unproven revenue or project-delay benefits. AI features require the relevant scope and pricing; a sample software input is not an AI subscription offer.
The product vision is to manage work across the full lifecycle: scope preparation, approvals, contract obligations, submissions, acceptance, payments and closeout. Dashboards help explain that work; they are not the product’s only purpose. This website contains an interactive concept, not the operational SaaS application.
Payment requests can occur throughout execution and at closeout. The proposed model links them to the relevant contractual condition, acceptance evidence and approval. Tracking payment status is separate from authorizing or executing a bank transfer.
The intended model lets agents prepare work and execute routine steps under explicit rules and permissions. Important contractual decisions, acceptance, changes and financial approvals require authorized people. The walkthrough uses scripted examples; no live AI service is running here.
That is a core product requirement. Each party would receive access limited to its responsibilities and authorized project records. The stakeholder switches in the preview illustrate the experience; they do not implement login or permission enforcement.
Yes, configurability is part of the intended product design. Stage labels, gates, approval authority, templates and terminology can follow the organization’s operating model. The example shown is not a mandatory project methodology.
Madlool Tech is in development. You can explore the concept, discuss your requirements and define a pilot scope. Production readiness, availability, deployment, integrations, support and security controls must be confirmed before using it with company data.
No. They are captures of the interactive prototype shown on this website, using fictional records. They illustrate the intended workflows; they are not production customer evidence.
No. The model uses editable assumptions about effort, adoption, review and costs. It estimates capacity value rather than guaranteed cash savings. A pilot should establish a baseline and test the business case.
Yes. Use the language control to switch between English and Arabic. Your language preference is stored locally; project examples and pricing remain the same.
Security should be demonstrated—not implied by a badge. See how this preview handles information and which controls must be verified before a production pilot.
Visit Security & TrustFictional projects and scripted contract examples. No live document processor is connected.
Tenant isolation, auditability and authorized approvals require backend implementation and verification.
No ISO 27001, SOC 2 or regulatory compliance status is claimed for this prototype.
Scope preparation? Contract follow-up? Delayed acceptance? Manual reporting? Let’s start with the work your team needs to do better.
Contact & support
support@madlooltech.com
Your operating model. The stages, people and controls that matter.
A focused walkthrough. The relevant workflows, not a generic feature tour.
A realistic next step. Fit, scope and readiness before a commitment.
From the first brief to the last obligation.
Madlool Assistant explains dashboard indicators, summarizes priorities and suggests follow-up steps with links to source records.
Available with the Madlool platform after service activation. This website is an interactive demonstration and does not process your contracts.
The assistant supports your review. It does not modify records or automatically analyse uploaded contract files.