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In the field guide
makesense
makesense.ge
MakeSense.ge offers AI advisory services and builds custom AI tools and agents tailored to business processes. Their approach begins with a fixed-scope Discovery to identify high-ROI AI opportunities and includes adoption support to ensure AI tools are effectively integrated and used within the company.
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The product, beyond the pitch
Editorially reviewed · Sources checked Nov 2, 2026
A good fit for
- Businesses seeking to adopt AI with controlled, safe, and productive use across teams.
- Companies wanting custom AI solutions tailored to their specific processes rather than generic templates.
Know the limitations
- AI adoption projects require a fixed-scope Discovery phase before development begins.
- The service is not for companies that want generic AI tools or pilots that do not produce measurable results.
What you can do
- Identifying and prioritizing AI opportunities in business operations to maximize ROI.
- Building and embedding AI tools and automations into existing workflows to improve productivity.
Features
- Custom AI agents built on real business processes.
- Process automation tailored to company workflows.
- Assistants trained on company data to support workflows.
- AI adoption support including tool selection, policy creation, and team training.
Integrations
Not confirmed yet.
Platforms & data export
Not confirmed yet.
makesense pricing
No plans recorded yet.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Organize processes and priorities into a phased roadmap focusing on quick wins and compounding value.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
Filter alternatives →Candidates based on category and primary feature. Check feature and pricing differences before switching.
ailix
ReviewedAilix is an AI transformation accelerator based in Montpellier and Paris that offers AI audits, executive training, automation, and business applications development. They deliver AI systems connected to client software, focusing on measurable priorities, production deployment, and delivering versioned code.
Huge AI offers AI consulting and implementation services to help businesses automate workflows and save time using AI. They provide a personalized AI Growth Roadmap, done-with-you AI Concierge services, and done-for-you AI Employees tailored to each business's needs.
Dapto builds custom AI agent systems integrated into existing business software to automate workflows across customer service, sales, marketing, and operations. It uses a shared Brand Core knowledge base to ensure consistent, brand-aligned responses and supports deployment without major system migrations.
Pankstr
ReviewedPraveena is an AI maker and product builder with 20 years of experience in tech, focusing on building AI systems, agents, and automations for businesses. The offerings include AI audits, AI agents, MCP servers, and n8n automation, aiming to solve practical problems and create compounding solutions.
makesense vs ailixmakesense vs Hugeaimakesense vs daptomakesense vs Pankstr
Plan a switch from makesense →What changed
2 recorded changes · latest 11/2/2026
Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.
Updated: best for, features, limitations, summary, use cases, walkthrough
See recorded changes
bestForBefore: ["Businesses wanting to identify and implement AI opportunities with measurable ROI and controlled adoption."]
After: ["Businesses seeking to adopt AI with controlled, safe, and productive use across teams.","Companies wanting custom AI solutions tailored to their specific processes rather than generic templates."]
featuresBefore: ["Custom AI agents and automations built on real business processes.","AI adoption support including tool selection, policy creation, data-safe workflows, and team training."]
After: ["Custom AI agents built on real business processes.","Process automation tailored to company workflows.","Assistants trained on company data to support workflows.","AI adoption support including tool selection, policy creation, and team training."]
limitationsBefore: ["Requires a paid fixed-scope Discovery phase to start the AI opportunity audit and planning.","AI adoption and tool building is a multi-step process requiring organizational commitment and training."]
After: ["AI adoption projects require a fixed-scope Discovery phase before development begins.","The service is not for companies that want generic AI tools or pilots that do not produce measurable results."]
summaryBefore: "This service finds where AI can generate real financial value in a business and builds custom AI tools and agents to automate work. It starts with a fixed-scope Discovery phase to audit and prioritize AI opportunities, followed by designing, building, and embedding AI solutions into workflows with team training and ongoing support."
After: "MakeSense.ge offers AI advisory services and builds custom AI tools and agents tailored to business processes. Their approach begins with a fixed-scope Discovery to identify high-ROI AI opportunities and includes adoption support to ensure AI tools are effectively integrated and used within the company."
useCasesBefore: ["Automating internal business processes with custom AI tools and agents.","Controlled AI adoption in teams to improve productivity and data safety."]
After: ["Identifying and prioritizing AI opportunities in business operations to maximize ROI.","Building and embedding AI tools and automations into existing workflows to improve productivity."]
walkthroughBefore: []
After: ["Organize processes and priorities into a phased roadmap focusing on quick wins and compounding value."]
Updated: best for, features, limitations, summary, use cases
See recorded changes
bestForBefore: ["Businesses seeking to implement AI with controlled adoption and measurable ROI rather than accidental or unmanaged AI use.","Companies wanting custom AI solutions built specifically for their existing processes rather than generic templates."]
After: ["Businesses wanting to identify and implement AI opportunities with measurable ROI and controlled adoption."]
featuresBefore: ["Custom AI agents that perform real work within business processes.","Process automation tailored to the company's workflows.","Assistants trained on company data to support internal operations."]
After: ["Custom AI agents and automations built on real business processes.","AI adoption support including tool selection, policy creation, data-safe workflows, and team training."]
limitationsBefore: ["The service requires a paid, fixed-scope Discovery phase before proceeding to build AI tools."]
After: ["Requires a paid fixed-scope Discovery phase to start the AI opportunity audit and planning.","AI adoption and tool building is a multi-step process requiring organizational commitment and training."]
summaryBefore: "This service finds where AI can generate real financial value in a business and builds custom AI tools and agents tailored to the company's actual processes. It starts with a fixed-scope Discovery phase that audits operations, prioritizes AI opportunities, designs solutions, builds working software, and supports adoption to ensure effective use of AI tools."
After: "This service finds where AI can generate real financial value in a business and builds custom AI tools and agents to automate work. It starts with a fixed-scope Discovery phase to audit and prioritize AI opportunities, followed by designing, building, and embedding AI solutions into workflows with team training and ongoing support."
useCasesBefore: ["Automating internal business processes to increase efficiency and reduce manual work.","AI adoption management including tool selection, policy creation, and team training to ensure safe and productive AI use."]
After: ["Automating internal business processes with custom AI tools and agents.","Controlled AI adoption in teams to improve productivity and data safety."]
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