Tnufa
Mapping Call
Business momentum through practical technology

Turn practical technology into company momentum.

AI is already entering the way companies work. The challenge is turning scattered tools and ideas into working systems that create real change. Tnufa helps identify where technology can make a difference, shape the right systems, and bring them into daily use.

Schedule a Mapping Call

Start with one clear opportunity. Build the first system your team can actually use.

Company Operating Mapv1 / Tnufa
Capability layerAI + Workflow
Sales
Service
Operations
Knowledge
Management
Leadership
Outcomes
Time savedCost reducedLess team loadBetter controlFaster decisionsNew capability

— What Tnufa does

Tnufa helps companies bring AI, automation, and workflow technology into daily operations — not as another tool, but as working systems teams actually use.

We work with owners, CEOs, and the relevant teams to understand the real needs, define the first useful systems, lead implementation with technical partners, and support adoption and expansion over time.

— 01 / Point of view

AI only matters when it changes how work gets done.

Most companies do not need more experiments, demos, or disconnected tools. They need practical systems that help people sell, serve, operate, manage, and make decisions better.

  1. 01
    Existing work
    what already happens every day
  2. 02
    Friction
    where time, money, or attention gets stuck
  3. 03
    Working system
    something the team actually uses
  4. 04
    Momentum
    more speed, control, and capacity to grow

— 02 / Diagnosis

Where companies lose momentum

The best opportunities are usually hidden in the work already happening every day.

01

Sales follow-up falls between the cracks

Leads, calls, proposals, and next steps are scattered across inboxes, people, and memory.

02

Service teams repeat the same work

Recurring questions, repeated answers, and manual triage consume good people's time.

03

Operations depend on handoffs and memory

Work moves through people instead of reliable systems, creating delays, errors, and friction.

04

Knowledge is trapped in people and systems

The company knows the answer, but the team cannot access it quickly when it matters.

05

Management lacks a live view

Leaders do not see early enough what is stuck, delayed, exposed, or slipping.

06

Growth ideas do not become systems

Opportunities are discussed, but do not turn into repeatable workflows or capabilities.

— 03 / Transformation

From manual work to working systems

The shift is not from one tool to another. It is from repeated manual effort to systems that help the company work with more speed, consistency, and control.

  • 01Scattered follow-up
    Clear sales systems
  • 02Repeated service work
    Reusable service workflows
  • 03Manual handoffs
    Smoother operations
  • 04Trapped knowledge
    Accessible knowledge
  • 05Late visibility
    Better management control
Time savedCost reducedLess team loadBetter controlFewer missed opportunitiesNew capability

— 04 / Method

How we build momentum

  1. 01

    Understand the business reality

    We map how work actually moves across sales, service, operations, knowledge, and management.

  2. 02

    Find the first leverage points

    We identify where technology can reduce friction, save time, improve visibility, or create a new capability.

  3. 03

    Shape the right system

    We define what the first system should do, how it should fit into the company, and what would make it useful for the team.

  4. 04

    Build with technical partners

    We coordinate technical implementation with the right engineering and automation capabilities.

  5. 05

    Bring it into daily use

    We help the team adopt the system and make it part of how the work actually gets done.

  6. 06

    Improve and expand

    We support the system after launch and identify the next places where technology can create value.

— 05 / Operating layer

Turning technology into a working layer across the company

Tnufa helps companies build a practical working layer that connects people, knowledge, processes, data, and decisions — not another tool on the side, but systems that become part of how the company sells, serves, operates, manages, and grows.

Where this usually begins

The first systems often appear in familiar places: follow-up, service response, handoffs, internal knowledge, management visibility, and growth opportunities. The deeper work is the same — turning scattered activity into systems the company can use, improve, and expand.

01

Sales

From scattered follow-up to clear next steps.

02

Service

From repeated answers to reusable response workflows.

03

Operations

From manual handoffs to clearer ownership and flow.

04

Knowledge

From information trapped in people to knowledge the team can use.

05

Management

From late visibility to earlier signals and better control.

06

Growth

From ideas discussed once to capabilities the company can repeat.

— 06 / Audience

Built for companies with real operating complexity

For companies with teams, customers, service load, sales processes, documents, recurring workflows, and management complexity — where small improvements in how work moves can create meaningful value.

B2B companiesService companiesImportersTraditional industriesReal estateProfessional servicesSales & service teamsOperations-heavy companiesManagement teams seeking control

— 07 / About

Commercial judgment. Technical implementation. Systems that work.

Tnufa combines business understanding, commercial prioritization, and technical implementation capability.

Erez Gross leads the business side: understanding the company, mapping opportunities, shaping priorities, and connecting every system to real business value.

Many Roads leads the technical implementation: AI engineering, automation, infrastructure, interfaces, deployment, and production systems.

Erez Gross

Business, growth & client-side strategy

Business growth, sales, partnerships, commercialization, strategy, and client-side prioritization.

Many Roads

AI engineering, automation & technical implementation

AI engineering, automation, infrastructure, deployment, UI, and production systems.

Team

  • Amitai BursteinAI Engineering
  • Brice LenfantDevOps & Automation
  • Áron NovákArchitect & Hardware
  • Adam StewartDirector & Creative
  • Isabell SchulzProject Manager
  • Nora NovakDesign & UI

Selected prior work

WFP · WMO · UNFPA · Open Scholar at Harvard University · Gratz College · The Jewish Education Project · Posen Library · TIP Global Health · Workforce Innovation Center · Circuit Auction · Casa Del Lector · G-Mana · INCE · UNDG · Purple Pen · iCenter · iHangane

— FAQ

Questions about Tnufa

What does Tnufa do?

Tnufa helps companies bring AI, automation, and workflow technology into daily operations — not as another tool, but as working systems teams actually use. We work with owners, CEOs, and the relevant teams to understand the real needs, define the first useful systems, lead implementation with technical partners, and support adoption and expansion over time.

How is Tnufa different from an AI agency?

Tnufa does not start with tools, automations, or AI agents. We start with the business: where work slows down, where teams repeat themselves, where follow-up gets missed, where knowledge is hard to access, and where the company lacks a clear view. From there, we help shape and implement systems that can actually become part of the company's work.

Who is Tnufa for?

Owners, CEOs, and the people leading companies with teams, customers, service load, sales processes, documents, and recurring workflows — where small improvements in how work moves can create meaningful value.

Does Tnufa only advise, or also help implement?

Tnufa moves from understanding the business through to working systems. We shape what should be built, lead implementation with engineering partners, and support adoption and expansion after launch.

Who handles the technical implementation?

Technical implementation is supported by Many Roads (manyroads.ai), an AI and engineering team focused on AI engineering, automation, infrastructure, deployment, UI, and production systems.

What is an AI workflow system?

A working system that uses AI and automation to handle a specific piece of business work end to end — with the triggers, data, and human checkpoints in place for a team to rely on it.

Which area should a company start with?

Usually where work is most repeated, most delayed, or most dependent on specific people.

How does the mapping call work?

A focused 30-minute call. No preparation required. We identify a clear opportunity where technology can create value inside how the company already works.

— 08 / Next step

See where technology can create momentum in your company.

We begin with a focused mapping call to identify where practical technology can create clear value inside the way your company already works.

Schedule a Mapping CallNo prep. 30 minutes.