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AI-Powered Business Development

AI on the revenue side — not just in the back office.

AI sales process automation

Almost every AI project in this market is pointed at the cost side: reporting, admin, internal workflows. That work matters — but the bigger prize sits where the revenue is actually created. AI-powered business development means looking at every step of your sales funnel and asking which part a machine does better, faster or simply more tirelessly — and which part stays a human decision.

The difference is not marginal. If your salespeople spend half their week on research, data entry and chasing replies, the problem is not that they work slowly — it is that your most expensive capacity is going into work that can now be automated reliably. The goal of business development automation is exactly this: more conversations, fewer clicks.

What AI-driven business development actually means

Start with what it is not. It is not marketing automation: this is not newsletter scheduling, not a lead magnet, and not a chatbot pinned to the corner of your website. Those can be useful — they are simply a different job.

AI-driven business development goes after the deeper, more expensive part of the funnel. Lead research: we collect and enrich company data from public sources against your ICP — size, industry, tech stack, recent news, hiring signals. You are not buying a list; you get a criteria system that keeps producing relevant targets. Qualification: new leads are measured against the pattern of your own won and lost deals, and every score comes with a written reason so the salesperson can decide whether they agree. First touch: not a template with a filled-in company-name field, but a draft written from real research with a concrete, checkable reason for reaching out — reviewed and sent by a human. Proposal drafting: a first version generated from your call notes, your previous winning proposals and your price list.

The principle stays the same all the way through: AI takes the preparation and the aftermath, while the decision and the relationship remain human. That is also why this works in markets where trust closes the deal, not volume.

The B2B funnel, step by step — where AI enters

If you take one thing from this page, take this: do not "introduce AI". Pick one point in the funnel where the pain is measurable, and automate there. This is the map we work from.

Prospecting

Continuous target collection based on your ICP, with deduplication and enrichment. The output is not another spreadsheet, but a finished record landing in your CRM.

Scoring and qualification

Every lead gets a score and a short, readable justification. You also recognise a bad fit faster — which is worth just as much as spotting a good lead.

First touch

A research-based, genuinely personalised draft over email or LinkedIn. Nothing goes out without a human approving it.

Follow-up

Most B2B deals are not lost to a no — they are lost to being forgotten. Automated but context-aware follow-up is the fastest-paying step of the whole funnel.

Proposal generation

A structured proposal draft built in minutes from your call notes, your own winning templates and your price list.

CRM hygiene

Call and email summaries, automatic stage updates, missing fields filled in. Your salespeople stop doing admin, and management reporting finally reflects reality.

We typically start with one or two of these. In our experience follow-up and CRM hygiene deliver the fastest, least debatable result, while prospecting delivers the largest one — but asks for more patience.

Revenue.

Tools and integrations

We do not sell you a tool. We connect the systems you already pay for, and add only what is genuinely missing. In practice that means four layers.

CRM connection

HubSpot, Pipedrive, Salesforce, Zoho or an in-house system — connected two-way over its API. If your pipeline lives in a spreadsheet today, we can still start there, but in the second phase we will almost always recommend a real CRM.

Email and outreach

Built on Google Workspace or Microsoft 365 with deliverability treated as a first-class concern: a separate sending domain, gradual ramp-up, low daily volume. We do not build mass blasting — it costs more than it returns, in the short run and the long run alike.

Proposal and document generation

Template-driven documents from Google Docs or PDF, populated with CRM data, with the narrative part of the proposal drafted by AI so your salesperson edits instead of starting from a blank page.

Orchestration and models

We wire the flows together with n8n or a purpose-built TypeScript service, and pick the model per task — some steps genuinely need the strongest model, many are perfectly served by a cheaper, faster one. That choice alone makes a serious difference in your monthly bill.

If the integration side is the harder part of your case, read more on Custom AI Integration.

Ethics and GDPR in B2B outreach

B2B outreach is legally workable, but it is not a free-for-all — and the reputational cost of getting it wrong lands on your brand, not on the tool. These principles go into every process we build.

Legal basis, written down

For business outreach the usual legal basis is legitimate interest (GDPR Article 6(1)(f)), which requires a documented balancing test and a record of where the data came from. Every message carries a genuinely working opt-out.

Transparency

We do not pass machine-written messages off as handwritten notes, and we do not manufacture fake familiarity. A personalisation line that turns out to be invented damages your brand more than the meeting it might have booked.

A human at the decision

In line with the spirit of the EU AI Act, scoring that concerns people is never an automated decision here: it stays explainable, overridable, and the actual outreach step is always taken by a person.

Data location

We map exactly what data reaches a model and what must not leave the EU. Where it matters, we use EU-region services or anonymise the payload before it goes anywhere.

Why this is credible coming from us

Because we run it on ourselves. Develops Hungary's own business development works with exactly these mechanics: lead research, qualification, follow-up and proposal drafting are not done by hand here either. When something breaks during your rollout, we can usually tell you what it is quickly — because we have already hit it.

We have been building software from Budapest since 2018, and we are engineers, not slide-deck producers. That difference shows up the moment a CRM API behaves differently from its documentation, or a no-code tool hits its ceiling and someone has to write actual code behind it.

What you will not hear from us is a promised percentage uplift. We cannot know in advance how much your close rate will move — that depends on your market, your offer and your salespeople as much as on the automation. What we do commit to: by the end of the audit you will see precisely how many hours of human work go into each step of your funnel today, and how much of it can be given back.

Frequently asked questions

How long before we see results?

The first working automation typically goes live in 2–4 weeks — usually follow-up or CRM hygiene, because those are the least risky. A measurable effect on the pipeline realistically takes 2–3 months because of B2B cycle times, and up to 6 months with longer sales cycles. Anyone promising faster revenue growth is not really talking about your sales process.

Which CRMs do you work with?

Most often HubSpot, Pipedrive, Salesforce and Zoho, but we work with any system that exposes an API, and we build integrations for in-house CRMs as well. If you have no CRM today, we can start from a spreadsheet, though we will recommend one in the second phase.

What does it cost?

Honest ranges: the sales process audit is fixed-fee, typically HUF 250,000–600,000. A first implementation focused on one or two funnel steps usually lands at HUF 1.5–4 million, while a project covering the full funnel is HUF 6–15 million. On top of that comes ongoing operation at roughly HUF 150,000–400,000 per month, plus actual model usage, which for a small sales team is often only tens of thousands of forints monthly. We only give an exact quote after the audit.

What do you need from us to start?

Access to your CRM (or an export), 10–20 won and 10–20 lost deals so the patterns are real, a clear ICP description, and one owner on your side who can spend about two hours a week on the project. Nothing more is needed for the first phase.

Is this GDPR-compliant?

Yes, when it is done properly. We work on a legitimate-interest basis with a documented data source, a balancing test, a working opt-out and EU-based data handling, and any scoring concerning people stays explainable and overridable — which also aligns with the transparency expectations of the EU AI Act. We do not replace legal advice, but the process is built so your lawyer can sign it off.

Related services

Revenue-side automation is one branch of a bigger picture. If you want to see the whole approach first, start with AI-Driven Process Development. If you are not sure yet where automation would pay off in your company, the free AI assessment is the cheapest way to find out.

AI-Driven Process Development AI Automation for Companies Custom AI Integration Free AI Assessment

Book a sales process audit

Tell us in a few sentences what your funnel looks like today and where most deals stall. We will come back within one business day with a concrete first step.