AI for B2B - sales, operations, and service automation

See where AI truly helps B2B teams: document intake, proposals, CRM, and ERP workflows, plus a practical rollout plan.

Our clients

Clients and partners

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
Relief Center
Pandora
AI for B2B: Cut Busywork and Close Deals Faster
Saint-Gobain
Askona
FIX PRICE
Snezhnaia Koroleva
Muztorg
TVOE
Greenway
Polaris
Campari
Yandex
Lenta
International perfume and cosmetics brand
AI for B2B: Cut Busywork and Close Deals Faster
RAEC
EKF
L'Etoile
Inventive Retail Group

AI for B2B speeds up deals, automates routine work, analyzes documents, helps managers, improves service team performance, and increases data accuracy. We implement AI for companies with long sales cycles, complex approvals, and high operational volumes. Speed, accuracy, and automation where routine work takes hours

Automating routine manager tasks

AI fills in CRM, generates proposals, drafts emails, analyzes documents, creates tasks, checks data, and speeds up communication. The manager focuses on negotiations, not deal mechanics.

Working with corporate systems and documents

AI integrates with CRM, ERP, DMS, BI, and uses corporate documents, policies, and instructions. It understands process context, products, and company rules.

Support for complex B2B deal scenarios

Custom pricing, quotes, specifications, multi-stage approvals, payment and status tracking - AI supports the full deal cycle and reduces the load on account managers and back-office teams.

Enterprise-grade data security and control

Access, roles, logging, encryption, and operation within the company perimeter. AI acts strictly according to corporate rules and stays within security policy.

Efficiency and growth in one solution

  1. We implement AI solutions that work within your processes - CRM, ERP, document management, service desk, BI. The tool learns from corporate data and increases the speed of all B2B teams. The solution includes:

  2. AI assistants for sales and account managers.

  3. AI agents for automating operations in CRM, ERP, and document workflows.

  4. AI tools for analyzing proposals, contracts, and technical documentation. Business results:

  5. Faster deals and less workload for managers.

  6. Automating operations and reducing data errors.

  7. Transparent and predictable B2B process execution. Solutions without unnecessary complexity from idea and analysis to results

Assess where AI can deliver impact in your process

We will study your processes and propose a ready-to-use implementation plan

  1. We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  2. We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results

  3. We plan the solution rollout, define scope, stages, and timelines, assign responsibilities, and agree on the criteria for success.

  4. Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value

Measurable gains in team and process efficiency

Companies implementing AI in B2B see results as early as the first quarter. 50% automation of manager actions 60% faster preparation of documents and proposals 40% fewer errors in data and CRM 3 months average payback period for AI solutions Customer reviews

FAQ

Frequently asked questions

What tasks does AI solve in B2B sales?

Generating proposals, analyzing requirements, preparing documents, filling CRM, tracking deal stages, handling customer requests, reconciliations, and finding information in documents.

Can AI be integrated with CRM and ERP?

Yes. AI performs actions through API: updates records, creates tasks, generates documents, and pulls prices, stock, and statuses from ERP.

How safe is it to use AI in B2B?

AI runs in a corporate environment or secure cloud, respects roles and access permissions, keeps logs, and does not send data outside.

Is AI suitable for B2B with complex contracts and heavy document workflows?

Yes. AI analyzes documents, creates versions, cross-checks data, prepares specifications, and supports legal and finance teams.

Can AI be implemented in stages?

Yes. Start with automating managers' tasks, then CRM operations, then integrations with ERP and BI, and after that agents and full process digitization.

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