Two Outcomes. Grow Revenue, Cut Cost.
We don't hand you a strategy deck and leave. We build—and run—the systems that bring in revenue and take out cost. The same systems we run on ourselves.
Most Consulting Stops at the Recommendation
You Get Advice, Not a Working System
A slide says automate this or enter that market. Then it's on you to build it. The value walks out with the consultant.
Two Levers Actually Move the P&L
More revenue, or less cost. Everything else is a means to one of those ends—and most engagements never connect back to either.
Execution Is the Hard Part
Knowing what to do is rarely the gap. Building it, wiring it into your stack, and keeping it running is where value is won or lost.
How We're Different
Scenario: new market entry
Working tool handed over — yours to run
We Build What We Recommend
Every strategy engagement includes working software—decision simulators, AI tools, or custom applications. Not just recommendations, but tools you can use immediately and continuously.
Local context, scored against readiness
Deep Emerging Markets Expertise
We don't just study emerging markets—we've built businesses there. From mobile money in Kenya to healthcare platforms in Nigeria, we understand the unique challenges and opportunities.
Execution Support, Not Abandonment
We stay engaged through implementation. Track progress, troubleshoot issues, and iterate until it works. Your success is our success.
What We Do
Every engagement ladders up to one of two outcomes. We scope, build, and hand over working systems—with the option to keep running them for you.
Grow Revenue
We build the systems that source, qualify, and convert demand—then keep them producing.
AI Outbound Engine
The demand-generation system we built for our own pipeline, built for yours. Domain infrastructure, sending, sequencing, AI reply-handling, and lead scoring—assembled, wired into your CRM, and tuned. Not a strategy for outbound. The outbound.
What you get: a running pipeline system + the playbook to operate it.
Pricing Optimization
The fastest lever on revenue is often the price, not the volume. We model your pricing scenarios against real elasticity and willingness-to-pay, then pressure-test the change before you ship it.
What you get: an interactive pricing model + a recommended move with the downside quantified.
Revenue-Model Testing
Subscription vs. usage vs. hybrid; new segment vs. deeper penetration. We build a model you can interrogate live, so the pivot is validated before you commit resources to it.
What you get: a working revenue simulator + a go/no-go with the numbers behind it.
Cut Cost
We find the manual, repeatable work that's quietly expensive—and replace it with systems that run themselves.
AI Process Automation
We map the workflows costing you the most hours, then build the automation that removes them. Document processing, data entry, reporting, reconciliation—delivered as working software, integrated into your systems, not a proposal to build it later.
What you get: live automations + measured hours removed.
Function-Replacement Agents
AI agents that take over defined operational functions—reply triage, first-line support, internal reporting, data sync. We run agents like these in our own operation; we build them into yours.
What you get: deployed agents + a human-in-the-loop review layer.
Customer Data Audit
Your customers live in a CRM, a billing system, a support desk and a spreadsheet — and no two agree. We inventory every system holding customer records, measure how far they have actually diverged, and declare a source of truth field by field. It is the work that has to happen before any AI initiative, because a model trained on contradictory records inherits the contradictions.
What you get: a system map, a source-of-truth matrix, and a remediation plan with build-vs-buy called per integration.
Cost-to-Serve Diagnostic
Where is the money actually going per customer, per order, per ticket? We trace it, rank the expensive workflows, and build the fix for the top ones—starting with fastest payback.
What you get: a cost map + an automation roadmap sequenced by ROI.
Six AI services, ready to run
Each one takes over a specific piece of work your team does by hand today. Not sure which fits? The discovery questions will tell you — before you ever get on a call.
AI Chat Agent
Every website and WhatsApp enquiry answered in seconds, any hour
- Replies on your website and messaging channels within seconds, 24/7
- Qualifies each enquiry against your criteria before a human sees it
AI Voice Agent
Calls answered, callers qualified, appointments booked — including nights and weekends
- Answers every call, including after hours and while your line is busy
- Handles the routine questions from a script you approve
AI Content Engine
Content in your voice, written and scheduled on a cadence that actually holds
- Drafts posts and articles in a voice profile built from your own material
- Publishes to a schedule you set — or queues everything for approval first
Reputation Automation
Review requests sent at the right moment, responses drafted in your voice
- Asks every finished customer for a review, on the platforms you choose
- Drafts responses to new reviews in your register — published or queued for approval
AI Sales Assistant
Every lead followed up on time, your pipeline summarized without asking
- Follows up each lead on the schedule you define, until they answer or you stop it
- Writes follow-ups in your voice, from the context of the whole thread
Workflow Automation
The repetitive back-office work your team does by hand, done by a system
- Maps the process as it actually runs before anything is automated
- Automates the steps a system can do; leaves a person exactly where one is needed
Customer Data Audit
One question answered in 2–3 weeks: which system is telling the truth about your customers, and what would it take to make them agree?
What you get
- System inventory — every place a customer record lives, including the spreadsheets nobody admits to
- Divergence measurement — sampled records compared across systems, so the duplicate rate is counted rather than estimated
- Source-of-truth matrix — declared field by field, not system by system, because no single system wins every field
- Remediation plan — sequenced, with build-vs-buy called per integration and the cheap wins named first
- An AI-readiness read — what your data can and cannot support today
How it is bounded
- Fee
- $10K–$25K, fixed — invoiced on delivery
- Duration
- 2–3 weeks
- You own it
- The map and the plan are yours, usable with any vendor — including not us
- Honest outcome
- If the data is in better shape than you feared, we say so and the plan gets shorter
- Then what
- Remediation runs as a project engagement, or your own team executes the plan
Service Deep Dive
We build the systems that source, qualify, and convert demand—then keep them producing.
AI Outbound Engine
Problem: "We need pipeline, not another agency retainer."
Our Approach: Stand up domains and mailboxes, sequencing with AI reply-handling, lead scoring and enrichment—wired into your CRM. The same stack we run to fill our own pipeline.
Pricing Optimization
Problem: "Are we leaving money on the table at our current price?"
Our Approach: Build a pricing model against elasticity and willingness-to-pay, test scenarios, and quantify the downside before you move.
Revenue-Model Testing
Problem: "Should we move to subscription, usage, or a new segment?"
Our Approach: Build an interactive revenue simulator you interrogate live, so the pivot is validated with numbers before you commit resources.
We find the manual, repeatable work that's quietly expensive—and replace it with systems that run themselves.
AI Process Automation
Problem: "Too many hours go into repetitive, manual work."
Our Approach: Map the highest-cost workflows, then build automation for the top ones—document processing, data entry, reporting, reconciliation—integrated into your systems.
Function-Replacement Agents
Problem: "Can AI take over this whole function?"
Our Approach: Deploy agents for reply triage, first-line support, internal reporting, and data sync, with a human-in-the-loop review layer. We run agents like these in our own operation.
Cost-to-Serve Diagnostic
Problem: "Where is the money actually going per customer, order, or ticket?"
Our Approach: Trace cost-to-serve, rank the expensive workflows, and build the fix for the top ones—sequenced by fastest payback.
Keep the systems we build producing—or embed us as your fractional operator. Ongoing access to senior expertise, priced by engagement depth.
Executive Advisory
10 hours/month - Monthly strategy sessions, ad-hoc guidance, quarterly reviews.
$15K-$30K/month
Ideal for: C-suite needing strategic input
Strategic Partner
20 hours/month - Bi-weekly sessions, priority access, implementation support.
$30K-$60K/month
Ideal for: Growing companies scaling operations
Embedded Executive
40 hours/month - Weekly sessions, daily availability, hands-on execution.
$60K-$100K/month
Ideal for: Fractional CTO/CSO needs
How We Work
A structured process designed to deliver results
Discovery & Scoping
Week 1-2
Activities: Stakeholder interviews, data review, problem definition
Deliverable: Scoping document & project plan
Investment: $10K–$25K
Analysis & Design
Week 3-6
Activities: Deep analysis, framework development, simulator prototyping
Deliverable: Interim presentation & draft models
Milestone: 30% payment
Solution Development
Week 7-12
Activities: Build final deliverables, develop simulators, create implementation plans
Deliverable: Final strategy, working simulators, implementation roadmap
Milestone: 40% payment
Implementation Support
Week 13-16
Activities: Guide execution, troubleshoot issues, knowledge transfer
Deliverable: Implementation tracking & final report
Milestone: Final 30% payment
Example Engagements
Illustrative of our approach and typical deliverables
These are illustrative; we'll share specific case studies as we complete engagements.
Challenge
Should we expand to new countries or consolidate in existing markets?
What We Did:
- Market entry simulator modeling expansion scenarios
- Regulatory, competitive, and partnership analysis
- Stress-tested financial projections
Outcome:
- Clear go/no-go decision per market
- Risk and opportunity assessment
- Implementation roadmap
Deliverables: Interactive decision simulator + strategic report + implementation plan
Challenge
How can we use AI to reduce operational costs and improve matching?
What We Did:
- Predictive matching and automation design
- AI integration into existing platform
- Team training and handoff
Outcome:
- Efficiency gains and quality improvement
- Working system with documentation
- Ongoing optimization support
Deliverables: Working AI system + team training + ongoing optimization
Challenge
Navigate entry into a new regional market
What We Did:
- Deep market analysis across multiple countries
- Partnership structures and entry strategies
- Financial model for different scenarios
Outcome:
- Market entry strategy and prioritization
- Regulatory and partnership playbook
- Execution timeline and milestones
Deliverables: Market entry strategy + partnership playbook + regulatory guide
We Run These Systems on Ourselves
We're not describing a capability we'd like to have. We built the outbound engine and the reply-handling agents for our own pipeline first — sourcing, scoring, channel routing and draft generation all run against our own leads, with a human approving before anything sends. When we build one for you, you're getting a system we've already had to make work, not a first attempt on your budget.
Built, Then Handed Over
Every engagement ends with working software you own and can run—or we keep running it for you.
Wired Into Your Stack
We integrate into your CRM, data, and tools. No parallel systems that die on handoff.
Sequenced by Payback
We start with the change that pays for itself fastest, so the engagement funds the next step.
Who We Work With
We partner with ambitious organizations making high-stakes decisions in emerging markets.
Private Equity & Venture Capital Firms
Need: Strategic support for portfolio companies
Value: Hands-on execution, not just advice
Example: Scaling African tech startups, optimizing portfolio operations
Multinationals Entering Emerging Markets
Need: Local market intelligence + technology implementation
Value: Navigate regulatory complexity, identify partnerships, build infrastructure
Example: Fortune 500 companies expanding to Africa/Asia
Fast-Growing Emerging Market Companies
Need: Scale strategy + AI implementation
Value: Tech-first approach, execution speed
Example: African/Asian unicorns and soonicorns ($10M+ revenue)
Development Finance Institutions
Need: Strategic analysis for investment decisions
Value: Rigorous frameworks + decision tools
Example: World Bank, IFC, AfDB projects
PE & VC firms
Portfolio support
Multinationals
Market entry
EM scale-ups
Growth + AI
DFIs
Investment analysis
Investment & Engagement Models
We offer flexible engagement models to match your needs and budget.
Discovery & Scoping
Best For: Starting point — before anyone commits to a build
Structure: Fixed fee
$10K–$25K
Duration: 1-2 weeks
What's Included:
- Stakeholder interviews and data review
- Problem definition and scope
- Ranked shortlist of what to build first
- Scoping document and project plan you keep
Payment Terms: Fixed fee, invoiced on delivery
Project-Based
Best For: Specific strategic challenges
Structure: Fixed-fee based on scope
$75K–$500K
Duration: 6-20 weeks
What's Included:
- Defined deliverables
- Working tools/simulators
- Implementation support
- Knowledge transfer
Payment Terms: 50% upfront, 50% on completion (or milestone-based)
Retainer Advisory
Best For: Ongoing strategic guidance
Structure: Monthly recurring
$15K–$100K/month
Duration: 6-12 month commitments
What's Included:
- Regular strategy sessions
- Ad-hoc access between sessions
- Quarterly deep-dives
- Priority response times
Payment Terms: Monthly in advance
Custom Engagements
Best For: Unique or complex needs
Structure: Tailored to your situation
Contact for pricing
Duration: Varies
What's Included:
- Customized scope
- Flexible team composition
- Hybrid project + retainer models
Payment Terms: Negotiated
All pricing is customized based on scope, complexity, and timeline. Schedule a consultation for a detailed proposal.
Looking for a fixed-scope decision model instead of a build? See GradeCircle pricing — self-serve from $2,500, fixed-scope Decision Model Sprint $8K–$20K.
Frequently Asked Questions
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Start With the Outcome You Need
Tell us which line on the P&L you're trying to move. We'll scope the system that moves it.
We respond within 1–2 business days.