Company presentation
Better decisions.Smarter operations.Greater impact.
SpparoW is an African consulting and technology company. We turn complex operational problems into measurable improvements — using data, technology, automation, AI and product design.
West Africa first. Pan-African by design. World-class technology built for African realities.
01 — Who we are
We understand organizational problems — and we build the systems that solve them.
The product is business improvement. Data and AI are how we get there. We do not sell a stack. We sell a change in how the organization works — then we stay until that change holds.
We sit between strategy, consulting, data, AI, product and technology. African operational reality is the design constraint, not a disclaimer: field teams, schools, programmes, agribusinesses, intermittent connectivity, unofficial workflows.
What we are not
- A freelance consultancy
- A generic IT agency
- A dashboard shop
- A software outsourcing company
- A generic AI startup
- A traditional NGO consultancy
How the company grows
- 01 — Consulting on real operational problems
- 02 — Recurring problems become frameworks
- 03 — Frameworks become diagnostic tools
- 04 — Diagnostics become digital products
- 05 — Products become recurring value
Labs is that path made visible. The AI Diagnostic is the first product. Consulting is how we implement what the diagnostic finds.
Consulting
Sit with the operational problem until it is specific enough to change. The first deliverable is a shared picture of the work — not a slide on technology.
Data, automation and AI
Make information reliable enough to decide, then remove the repetitive steps, then apply intelligence where the work is already frequent and structured.
Product and engineering
Build the smallest system the organization will actually use, inside the tools and constraints it already has — including field work and intermittent connectivity.
Delivery and adoption
Stay until teams use the change in daily operations, and until someone can measure whether it held. A system that is not used has not been delivered.
02 — What we solve
Six problems. Measurable improvements.
This is the catalogue. We do not organize the company around technologies. We organize it around the outcomes organizations are trying to achieve.
01
Make better decisions
Turn fragmented information into a clear view of your organization.
Leadership, finance, operations and program managers who are asked for numbers they cannot produce in time.
- A single view of organizational performance
- Reporting that arrives when decisions are made
- Forecasts grounded in operational reality
02
Run operations better
Make complex operations visible, efficient and scalable.
Operations leads, regional managers and field coordinators who currently hold the picture in their heads or in a messaging group.
- Operational monitoring that matches how work is done
- Workflows that replace informal coordination
- Alerts when performance drifts
03
Automate repetitive work
Give your teams back the time they spend on repetitive work.
Analysts, M&E officers, administrators and coordinators whose week is consumed by reconstitution rather than judgment.
- Reporting that updates itself
- Documents that become structured information
- Internal assistants for routine questions
04
Find where AI creates value
Move from AI experimentation to practical business value.
Executives and digital leads who are under pressure to “do AI” and do not want a pilot that never touches the operation.
- A clear map of AI opportunities
- An honest view of readiness
- A first project worth implementing
05
Improve program performance
Turn program data into better decisions and measurable results.
Program directors, M&E teams, funders and government units accountable for delivery they cannot currently see in time.
- Monitoring systems people will actually use
- Program dashboards for managers, not only for reports
- Earlier signals when delivery is off track
06
Build products people use
Turn complex processes into simple digital experiences.
Operators, teachers, agents, enumerators and internal teams who have been trained on a system they still avoid.
- Products designed around the real workflow
- Interfaces that work in the field, not only in the office
- Adoption treated as part of the build, not an afterthought
03 — Where we work
Agriculture. Education. Development and impact.
The sectors share a last-mile problem: the official system is designed for the office, and the real work happens elsewhere.
Agriculture
Make field operations more visible, predictable and scalable.
Work happens across plots, warehouses, agents and seasons. The office rarely sees the field in time to act. We build the operational picture agribusinesses and programs need to plan, coordinate and grow.
Typical pressures
- Quality and traceability expectations rising
- Operations spreading across more regions with the same coordination habits
- Decisions about input, collection and offtake made on last month’s picture
Education
Build better tools for teachers, learners and education systems.
Education systems collect a great deal of information and still struggle to see what is happening in classrooms, cohorts and institutions. We build tools that reduce administrative load and make learning operations easier to run.
Typical pressures
- More learners, more sites, the same administrative capacity
- Accountability requests that arrive faster than the data
- Digital tools that add work rather than remove it
Development & Impact
Turn program data into faster decisions and measurable impact.
Programs are accountable to communities, funders and their own teams. Reporting often comes too late to change delivery. We help organizations see performance while they can still do something about it.
Typical pressures
- Funders asking for evidence while implementation is still moving
- Multi-partner delivery with no single operational picture
- Impact discussed after the program can no longer change course
Situations we take on
Published engagement metrics will replace these patterns. We will not invent clients or results in the meantime.
Agriculture
When leadership cannot see the field until the month closes
Activity was reported through messaging apps and spreadsheets. Managers could not see operations while they were still happening.
Visibility fails when the system is designed for the office, not for the field.
Development & Impact
When program data arrives too late to change delivery
Monitoring information lived in partner files. Reports were written for accountability, not for steering the program.
M&E that only serves the report will never serve the program.
Education
When the same report is rebuilt by hand every week
Analysts spent their week assembling numbers that already existed in other systems. Decisions waited on formatting.
If a report is a ritual, the organization does not have a decision system. It has a document.
04 — How we work
We do not start with tools. We start with the work that is failing.
SpparoW does not simply deliver software. We stay with the problem until the organization can see, use and measure the change.
Before → after
Before
- Scattered information
- Manual processes
- Limited visibility
- Slow reporting
- Disconnected systems
After
- Better decisions
- Faster operations
- Less manual work
- Better user experiences
- Measurable impact
How we intervene
01Data
Create a reliable picture of the organization, in time to decide.
02Technology
Connect the systems that already hold the work.
03Automation
Remove the repetitive steps that slow teams down.
04AI
Apply intelligence where it saves time, cost or uncertainty.
05Product design
Make the solution something people will actually use.
01
Understand
Understand users, business problems, processes, data and constraints — before anyone discusses a tool.
02
Design
Design the simplest solution capable of creating meaningful value. Ambition comes after the first improvement.
03
Build
Build and integrate the required technology into the systems and workflows the organization already uses.
04
Adopt
Work with teams to put the solution into everyday operations. A system that is not used has not been delivered.
05
Measure
Measure adoption, efficiency, performance and impact — then decide what to improve next.
- Business improvement is the product. Technology is how we get there.
- We understand the work before we propose a system.
- The first improvement should be visible in weeks, not in a transformation programme.
- African operational reality is the design constraint, not a disclaimer.
05 — SpparoW Labs
Tools that help organizations improve themselves.
Labs turns a vague ambition — “we should use AI” — into a specific first improvement. Consulting implements what the diagnostic finds.
3–5 minutes
Are we ready for AI?
AI Readiness Assessment
Measure the organization’s ability to adopt AI — data, operations, people and leadership — and leave with a score, a maturity level, and three priorities.
5–7 minutes
Where could AI create value?
AI Opportunity Finder
Identify the work where AI could save time, reduce cost or improve decisions — then see a first project worth discussing.
Coming
What should we do first?
AI Roadmap
Turn readiness and opportunity into a sequenced plan. Architected for the Labs ecosystem; not in this release.
06 — Team
A small company, staffed around the problem.
Main contacts below. A wider network of consultants and partners is brought in when a problem needs a particular skill, language or geography.
Founder · Main contact
Spero Faladé · MSc
Founder, Data and Tech Lead
Benin · Senegal · France
Spero is a data and project management consultant with more than eight years supporting NGOs, organizations and businesses that need to improve performance through better decisions. He turns complex data into something managers can act on — KPI dashboards, analysis, technology development, and monitoring and evaluation systems that hold.
Harriet Mensah Ahokpossi · MSc
Global Program and Communication Head
Benin · Ghana
Harriet leads how programmes are designed, communicated and understood by the people who fund and run them. She brings more than twenty years in ICT4D, digital learning and donor-funded work across Africa, including leadership of health, gender and youth programmes.
Christus Awohouedji · PhD
Research and Global Fundraising
Benin · United Kingdom
Christus leads research and fundraising so SpparoW’s work can be evidenced and resourced beyond a single engagement. He holds a PhD from the London School of Economics and has raised support for research and community programmes.
Marius Boko · MSc
Global Impact and Evaluation Specialist
Senegal
Marius makes sure improvement can be measured — indicators, logical frameworks, and whether a programme actually changed the work. Based in Senegal, he works on monitoring and evaluation systems that help teams align objectives, results and activities before they go to the field.
Cheick Tall · MSc
Business Intelligence Head
Canada · Senegal
Cheick leads business intelligence: turning operational data into a picture managers can act on. He has worked as a data and analytics consultant across product, operations and strategy — including agriculture programmes and earlier analytics work in France — between Senegal and Canada.
Alberta Opoku Frimpong · BSc
Engineering Project Manager
Ghana
Alberta runs engineering delivery so technical work stays tied to a real operational deadline. She is an engineering project manager with a background in artificial intelligence and computer vision, and has built and shipped applied systems in Ghana.
Hannah Ahokpossi · BSc
Information Technology Consultant
Ghana
Hannah advises on the information systems organizations actually run — continuity, risk, and the technology that keeps operations usable. She works as an information technology consultant in Ghana, including IT advisory on assessments, business continuity and the systems that hold client work.
Jean Claude Hounwado · MSc
Finance and Audit Consultant
Benin
Jean Claude brings finance and audit discipline to how money, risk and control are handled in the work. He has worked as a financial auditor, management controller and administrative and finance lead in Benin, including programme finance in the development sector.
07 — How to start
A diagnostic, or a conversation about the operational problem in front of you.
01
Assess the organization
The AI Diagnostic answers two questions before anyone discusses a tool: Are you ready? Where should you use it? Meaningful results before we ask for an email.
spparow.com/labs/ai-diagnostic
02
Talk to an expert
Describe the problem. We reply with a point of view — not a generic capabilities deck. If it is a fit, we propose a diagnostic or a discovery call.
spparow.com/contact
SpparoW works with organizations across Africa, with a first focus on West Africa. There is no requirement to be in a particular capital to start.
SpparoW
Better decisions. Smarter operations. Greater impact.
If this is the kind of company you want in the room, start here.