Operational intelligence
Analysis, dashboards, recurring reports, and decision systems that turn scattered operational data into a view leaders can act on.
Explore this capability ↗ Data intelligence · practical automation
Clearer decisions.
Better systems.
Alekium analyses operational data, produces decision-ready intelligence, and automates recurring work—using dashboards, software, integrations, rules, or AI where each is genuinely useful.
OPERATING SIGNAL / 01● SYSTEM ACTIVE
INPUTFragmented dataFiles · tools · conversations
→ALEKIUMFind the leverageAnalyse · connect · automate
→OUTCOMEDecision-readyVisible · repeatable · owned
What we build
From information overload
to operating clarity.
We start with the business constraint. Then we choose the simplest effective technology—whether that is a dashboard, an integration, a rules-based workflow, or an AI-assisted system.
Research & analysis
Focused market, customer, competitor, and operational research—synthesised into evidence, implications, and a decision-ready brief.
Explore this capability ↗Workflow automation
Rules, scripts, APIs, and integrations that remove repetitive handoffs while keeping people in control.
Explore this capability ↗Applied AI
Language-model workflows, grounded knowledge tools, and assistants—used only where they improve the system.
Explore this capability ↗Ways to engage
Start with a bounded decision. Build only what earns the next step.
Each engagement has a defined question, named inputs, tangible outputs, and an agreed handover. Scope is confirmed before work begins.
01
Decision & Workflow Diagnostic
A paid, bounded assessment that turns an unclear operational problem into a ranked decision and delivery plan.
- Ideal fit
- A sponsor has a recurring decision or workflow problem, but the right intervention and business case are not yet clear.
- Poor fit
- A request for unpaid solution design, a predetermined tool rollout, or a programme with no accountable sponsor.
- Typical timeline
- 5–10 working days
Inputs
- Sponsor and process-owner interviews
- Representative workflow, data, and system samples
- Known constraints, risks, and current costs
Outputs
- Current-state workflow and data map
- Baseline, opportunity ranking, and risk notes
- Recommended next step and phased roadmap
Planning price directionINR 75,000–150,000
02
Intelligence / Reporting Sprint
A fixed-scope sprint that answers a defined business question or establishes a repeatable reporting system.
- Ideal fit
- Leaders need a decision-ready view from identifiable sources and can agree the question, owner, and reporting cadence.
- Poor fit
- The source data is inaccessible, ownership of core metrics is unresolved, or the brief is an open-ended analytics transformation.
- Typical timeline
- 2–4 weeks
Inputs
- A defined decision or reporting question
- Approved access to relevant source data
- Metric owners, users, and review cadence
Outputs
- Reconciled analysis and metric definitions
- Decision brief, dashboard, or recurring report
- Source notes, operating guide, and handover
Planning price directionINR 200,000–500,000
03
Automation Sprint
A controlled implementation of one bounded workflow, using rules, integrations, software, or AI only where justified.
- Ideal fit
- The workflow repeats, has an accountable owner, and can be tested against real examples with clear human controls.
- Poor fit
- The process changes every time, depends on unavailable systems, or requires autonomous high-risk decisions without review.
- Typical timeline
- 3–6 weeks
Inputs
- Documented workflow and representative cases
- System access and integration constraints
- Exception rules, approvers, and acceptance criteria
Outputs
- Working bounded automation and integrations
- Human-review, exception, and rollback controls
- Testing record, training, and handover pack
Planning price directionINR 250,000–650,000
Planning direction, not a quote or guarantee. These bands are a starting hypothesis. Final scope and fee depend on data access, integrations, security requirements, decision risk, and stakeholder load.
Discuss the right starting pointWhere we help
The friction is usually
between the tools.
Alekium works with teams that have outgrown spreadsheets and ad hoc handoffs, but do not need a sprawling transformation programme.
- 01Weekly reporting assembled by hand
- 02Answers buried across files and tools
- 03Leads, tickets, or requests lost between systems
- 04Research that arrives too late to shape a decision
- 05AI pilots without a clear operating case
- 06Teams working from conflicting numbers
A representative workflow
One source of truth.
Fewer manual steps.
01 / COLLECTOperational inputs
CRM · support · finance · documents
02 / MAKE USEFULLogic + context
Clean · reconcile · route · summarise
03 / DELIVERActionable output
Dashboard · alert · brief · next step
Illustrative architecture. The right design depends on your data, risk, and operating environment.
Delivery model
Small scope. Visible progress.
A system your team can own.
Frame
Define the decision, workflow, baseline, constraints, and a useful success measure.
Prove
Build a narrow working version against real inputs before committing to scale.
Implement
Connect the workflow, document controls, test edge cases, and support adoption.
Improve
Measure actual use, remove friction, and expand only where the evidence supports it.
Why Alekium
Technology in service
of the operating goal.
We combine analytical thinking, business research, workflow design, and hands-on implementation. That makes the work coherent from the first question to the system people use.
01Method before modelWe do not default to AI when rules or conventional software will work better.
02Evidence before expansionEvery project begins with a bounded problem and a way to observe improvement.
03Designed for handoverClear documentation, sensible controls, and no unnecessary complexity.
Founder delivery record
Production work, stated at the scope the evidence supports.
Alekium is new. Founder Pranav Dhawan already has production website delivery for two operating businesses. See the source work and broader background on his founder portfolio .
Aerospace · New Delhi
Aevantis Aerospace
Production website delivery for an unmanned-systems manufacturer, presenting product lines, capabilities, and an enquiry path.
Visit production siteOutdoor advertising · Delhi NCR
Admiles Media
Production website delivery for an outdoor advertising company, presenting media locations, project galleries, and lead capture.
Visit production siteThis evidence demonstrates production digital delivery. It does not claim automation or intelligence outcomes; those will be published only when an engagement and its results can be verified.
A / 01FIELD
NOTESDecision systems
for growing teams
NOTESDecision systems
for growing teams
Insights / forthcoming
Practical notes for better operations.
Short, evidence-led perspectives on reporting, automation, applied AI, and the decisions behind reliable systems.
View the editorial queue ↗Start with the constraint
What is taking too long,
staying unclear, or
falling between systems?
Share the workflow and what a better outcome would look like. We will respond with a practical next step—not a generic transformation pitch.