Market opportunity intelligence
Bring market demand, commercial signals, competitors and internal knowledge into one view of where growth may exist.
CUSTOM AI FOR BUSINESS GROWTH
AI for Business Development, Sales & Marketing
Build AI around how your company actually grows.
Custom AI solutions that combine your business knowledge, sales insights, marketing data and market intelligence to identify opportunities, prioritize actions and accelerate growth.
Not another generic AI tool. Not generic AI content. Built around your business.
Explore what AI could do for your growth30-minute conversation. No preparation or commitment.
A working growth system
AI becomes useful when it improves a real decision.
The starting point is not a model or a prompt. It is the way your company recognises an opportunity, decides what matters, acts and learns from the result.
01Business & sales knowledge
02Data & insights
03Opportunity
04Decision
05Action
06Measurement
07Better next decision
Learning returns to business and sales knowledge
Business development — find opportunities
Find where your experience meets real market demand.
Market and search intelligence can reveal demand patterns, commercial signals, emerging niches and competitive spaces. Your company's knowledge determines which of those signals are relevant and credible.
Together, they create a better starting point for business development: where to grow next, which international opportunities deserve investigation and which apparent opportunities are a poor fit.
Opportunity intelligence
Conceptual viewA working analysis combines external signals with the company's own commercial context. It does not mistake searches for buyers or leads.
1
Market demand
Where a real problem is already being researched
2
Commercial intent
Which themes indicate a possible business need
3
Competitive context
Where the market is crowded or still open
4
Company fit
What your expertise and offer can credibly solve
From signals to a sales decision
Conceptual interface · no customer or prospect data
Signal
Sales observation
A recurring problem heard in customer conversations
Validate market fit
Signal
CRM knowledge
A pattern across won, lost or delayed opportunities
Prioritise the segment
Signal
Prospect signal
A relevant company, role or timing signal
Prepare a human review
Sales — turn signals into prospecting action
AI should strengthen commercial judgment, not bypass it.
Sales teams hold knowledge that rarely appears in a dashboard: recurring objections, timing signals, customer language, account context and reasons why opportunities advance or stall.
Combined with CRM knowledge, market signals and enriched prospect data, that experience can help identify and prioritise the next concrete sales action. The person remains responsible for the decision, relationship and message.
Marketing — intelligence before prompts
AI content should come from business intelligence, not prompts.
We don't use AI to produce more generic content.
AI becomes valuable when it understands the business, customer, sales process and market. For Jakamo, content is built around real procurement challenges, customer and sales knowledge, search demand and market insights.
AI helps turn that knowledge into high-quality content answering questions potential customers actually ask. Performance in traditional search and AI-driven discovery is then monitored and fed back into future decisions.
Knowledge-to-performance loop
Process view · evidence can be added as it becomes available
Content
Visibility
Data
Better decisions
AI-assisted content is not the end product. Its performance becomes another signal the system can learn from.
No performance screenshot or metric is shown here. Verified evidence can be added later without turning an illustrative process into a fabricated result.
Decision layer — know what to do next
The goal isn't another dashboard. The goal is knowing what to do next.
A company-specific decision layer can bring together business priorities, sales knowledge, market evidence and marketing performance. It can recommend an action, show the reasoning and supporting signals, and leave approval with the person accountable for the outcome.
Inputs
- Business strategy
- Markets and growth targets
- Google Search Console
- GA4 and website data
- Google Ads
- CRM and sales data
- Ahrefs and competitor data
- Customer and product knowledge
Analysis
JS Growth Engine
connectsanalysescomparesprioritiseslearns
Human decision
AI analyses. People evaluate and decide.
Outputs
- Executive summary
- Growth constraints
- Market-level opportunities
- Prioritised actions
- 30-day action plan
- Budget recommendations
- Management decision report
- Next learning cycle
New data created by execution flows back into JS Growth Engine for the next analysis cycle: every cycle improves the next decision.
What could we build around your business?
The system should fit the process — not the other way around.
These are possibilities, not off-the-shelf software packages. The right starting point depends on the decision your company needs to improve.
International growth intelligence
Compare markets and niches using evidence that helps leadership decide where to investigate or invest next.
Sales and prospecting intelligence
Turn sales observations, customer knowledge and prospect signals into a more focused next action.
Marketing decision system
Connect channel performance to commercial priorities instead of managing each platform in isolation.
AI-assisted content and visibility system
Use real expertise to create useful content, monitor discovery and feed the response back into future decisions.
A company-specific growth decision layer
Combine sales, marketing and market data so people can decide what matters now, and what can wait.
Approach
Start with a business problem, not AI.
Janne's core value is growth and business architecture: defining the process, decision and commercial outcome. Technical implementation can involve the technologies and specialist partners best suited to the situation — without pretending to be a generic AI software house.
- 01
Start with a business problem, not AI
Define the growth constraint or opportunity worth solving before discussing tools or technology.
- 02
Understand the process, knowledge and data
Map how decisions are made today, what experienced people know, and which signals are reliable enough to use.
- 03
Define the decision or action to improve
Be precise about what the system should help a person see, prioritise or do better.
- 04
Build the smallest useful working system
Prove value in a focused process before adding more data sources, automation or complexity.
- 05
Connect data where it is justified
Add CRM, analytics, search, advertising, market or prospect data only when it improves the decision.
- 06
Measure, learn and improve
Treat every action and result as new evidence for the next decision cycle.
Evidence and experience
Built on international business growth, sales and marketing experience.
The technology matters, but only after the commercial question is clear. The work combines 27 years of international business experience with practical sales, marketing, search, analytics and continuous-improvement thinking.
International growth
Market selection, positioning and customer acquisition across B2B markets.
Sales and marketing together
Commercial knowledge and customer signals guide what the system should improve.
Continuous learning
Measurement supports a better next decision instead of becoming reporting for its own sake.
What would AI look like if it was built around your business?
Let's identify one business development, sales or marketing process where your existing knowledge and data could be turned into a working AI system.
Explore what AI could do for your growth30-minute conversation. No preparation or commitment.