What problem does it solve?
B2B sales teams spend most of their time searching for who to sell to instead of selling. Prospect lists are compiled by hand from the internet and are full of outdated and incomplete information. Because no one knows which companies are actually close to buying, the team sends everyone the same message and responses are low. For exporters, writing effective first-touch messages in different languages is an additional obstacle. Data entered into the CRM stays scattered, so managers cannot see which channel works.
Target customers
- SMEs with B2B sales teams
- Exporters selling abroad
- Software and services companies
- Industrial product and equipment suppliers
- Sales consultancies and outsourced sales agencies
How the product works
The user defines the target industry, region and company profile. The assistant scans business information from maps and open sources to produce a prospect list. Each company is scored by size, industry fit and buying signals such as new branches or job postings. For high-scoring companies, a first-touch message draft tailored to the company and contact is prepared in the desired language. The sales rep approves and sends the draft, and responses are logged in the CRM. In the manager dashboard, which segments and messages bring more responses are tracked, and scoring improves over time based on these results.
What the first version (MVP) needs
- Target profile: industry, region and company size filters
- Prospecting: extracting business lists from maps and open sources
- Lead scoring: prioritization by industry fit and buying signals
- Personalized messages: company-specific, multilingual first-touch drafts
- Approval flow: messages sent only with rep approval
- CRM integration: transferring leads and responses to the existing CRM
- Performance dashboard: response report by segment and message
Revenue model
- Monthly subscription per user
- Tiered packages by monthly lead and message quota
- CRM integration and setup services
- White-label licensing for sales agencies
Why now?
With the maturing of large language models, writing personalized messages and turning scattered business data into a meaningful list has become accessible to small teams too. In Turkey, export-oriented SMEs work with limited sales staff to find customers in Europe and neighboring markets. These companies are looking for tools to grow their sales pipeline without hiring new staff. A Turkish-supported sales assistant that understands local language and business culture responds directly to this need.
A faster start on a ready platform
Hakan's Ganicus AI infrastructure, with B2B prospecting, map scanning, buying signals, lead scoring, CRM integration and personalized messaging in 80+ languages, is the ready core of this idea. Adapted to the target industry, it can be piloted with a customer in a short time.
End-to-end roadmap
- Validate the idea (1 week): Interviews with target customers, competitor and pricing research; we sharpen the idea together in a free pre-analysis.
- Scope and design (1–2 weeks): MVP feature list, screen designs and technical architecture; written scope and quote.
- Build the MVP (6–10 weeks): Staged development with weekly demos and a test environment; the source code belongs to you.
- Pilot (2–4 weeks): Real use with the first customers, feedback and fixes.
- Launch and grow (ongoing): App Store and Google Play release, website and SEO, payments and subscriptions, new modules.
Timelines are estimates; they are fixed in a written quote once the scope is clear.
Risks and how to handle them
- KVKK (Turkish data protection law), GDPR and commercial messaging rules: use only corporate and publicly available contact information, set up opt-in and opt-out mechanisms for commercial electronic messages, and store personal data limited to its purpose.
- AI producing inaccurate or inappropriate messages: require human approval for every message before sending and define template rules.
- Changes in data sources: use multiple sources and design the data extraction layer modularly.
Technologies
Frequently asked questions
Does the AI sales assistant send messages automatically?
In the MVP, messages are prepared as drafts and sent with the sales rep's approval; this protects both quality and legal compliance.
Which languages can it write messages in?
The assistant can draft messages tailored to the target company in many languages, including Turkish.
What should I watch out for regarding KVKK and GDPR?
Only corporate and publicly available information should be used, opt-in and opt-out rights must be provided for commercial messages, and data should be stored limited to its purpose and for a defined period.
Does it work with our existing CRM?
Yes. Found leads and responses can be transferred to the existing CRM via API.