Go-to-market strategy & AI implementation · B2B
Strategy that adds up. AI tools that stay.
LEADBeyond Accelerate is go-to-market strategy consulting and AI implementation for B2B companies in Germany. We decide with you where you win, then build the AI tools that make you faster: in weeks, on the systems you already run. Senior-led by former partners at McKinsey & Company and Roland Berger.
- Two partners lead every mandate
- MVP typically in 2–4 weeks
- Code and data can go fully to you
Formerly
Trusted by corporations, consultancies, associations and institutions
The partners
Two partners. Every mandate led personally.
Former partners at McKinsey & Company and Roland Berger. We sit in every steering committee and are your contacts from the first conversation to the result.
15+years of top-tier consulting
- Classic top-tier strategy work without the pyramid, senior-led and accelerated by AI
- We train the consultants of leading firms, from analyst to partner level
What we stand for
Impact partners, not advisors. We find the value, build the tools and stay until it works.
Why now
AI is everywhere. Impact is not.
Most companies are testing AI. Far fewer can show it in their numbers. In our experience AI projects rarely fail on technology alone, but on where AI is used, the process around it and who carries it. That is a strategy question before it is a tool question.
01 · The AI value gap
5%
of companies achieve AI value at scale.
Value at scale5%
Scaling35%
Minimal gains so far60%
BCG, The Widening AI Value Gap, September 2025, survey of 1,250 senior executives
02 · Where AI fits, and where it does not
19pp
less often right when consultants used AI on a task outside its frontier.
+12.2%more subtasks completed
+25.1%faster
+32%higher graded quality
−19 ppcorrect answers
Tasks inside the frontierTask outside the frontier
Dell’Acqua et al., Navigating the Jagged Technological Frontier, Organization Science 2026 (Harvard Business School with BCG), and the HBS AI Institute summary, April 2026
03 · Build with a partner
2×
as often, AI tools sourced through external partnerships reached deployment compared with tools built in-house.
With a partner~67%
Built in-house~33%
MIT NANDA, The GenAI Divide, July 2025, preliminary findings from 52 organisations, self-reported
What the research shows
AI lifts performance where it fits and hurts where it does not.
So we start with the decision, not the tool: where you win, which process pays, and only then what we build.
See the approachFrom decision to running tool
Decide where you win. Then build what gets you there.
Classic top-tier strategy work without the pyramid: from diagnosis through strategy into implementation, senior-led and accelerated by AI. Every step ends with something you can use.
The illustration shows six fictional market options tested against four proofs until one recommendation remains, then a ranked list of AI use cases, then three MVPs moving from specification to live, and finally one working pattern being reused in further processes.
How we build · Vibe Tooling
AI writes the code. People set the rules.
We build company tools with AI coding agents, using the newest models. We call it Vibe Tooling: as fast as vibe coding, as testable as classic software development. Nothing goes live without tests and human sign-off.
- Standard first. We check what your systems and their vendors already offer and build only the narrow layer that is missing.
- Specification and decision register. Process, rules, rights and roles are fixed before the first line of code.
- Test cases with expected results, written with your specialist team.
- A second model reviews. A second AI model reads the plan critically before people sign it off.
- Ambiguity counts as an error. The tool asks instead of guessing. A person approves, your core system stays in the lead.
Use cases
Where AI takes the routine off your teams.
No off-the-shelf platform, but exactly the application a process needs, built in weeks instead of years. Four areas where we look first.
Win more of the right business, faster.
Requests, proposals and contracts are where sales teams lose days. The AI drafts the proposal from what the company has offered before, checks terms against the rules and flags what needs a human.
What we build
- Proposals
- Contract review
- Forecasting
- Go-to-market cases
- Faster answers to requests
- Consistent terms in every offer
- A pipeline you can forecast
Take the routine out of operations.
Orders arrive by email, PDF or Excel. The AI reads them, matches customer, items and prices against the system and presents the finished order for approval. People only check what stands out. The same pattern works for invoices and for staffing.
What we build
- Order intake
- Invoice checking
- Resource planning
- No more manual typing
- Fewer errors in orders
- Orders in the system faster
Numbers the board can trust, sooner.
Reporting and forecasting tie up a lot of finance time. We build the model once: every number traceable to its source, every scenario at the push of a button, explanations for variances drafted for the finance team to check.
What we build
- Reporting
- Forecasting
- Invoice checking
- Calculation cockpit
- Board-ready numbers sooner
- Every number traceable
- Scenarios at the push of a button
Know-how that stays when people move.
Knowledge sits in inboxes and in the heads of a few people. Knowledge search and onboarding tools answer with sources; the staffing engine knows skills and availability.
What we build
- Knowledge search
- Onboarding
- Resource planning
- Answers with sources, not hearsay
- Onboarding without bottlenecks
- Skills and availability at a glance
Illustrations with example data
And wherever routine eats up time:
- Knowledge search
- Onboarding
- Reporting
- Contract review
- Invoice checking
Compatible with
Built, not just advised
We hand over tools, not slide decks.
Real windows from our work, neutralised so you can see how we work. Client, industry and all values are altered.
Impression · values altered
Impressions from an ongoing engagement, not a project example. Client, industry and all values are altered.
Classic advisory or Accelerate
What changes when your partner stays until it works.
Aspect
Classic advisory
LEADBeyond Accelerate
What you get
Slides and recommendations
A calculation model that stays, and tools in production
Market decision
A market study and a long list of options
Hurdle in week 1, four proofs, “don’t invest” is a possible outcome
Numbers
Benchmarks and estimates
Every number derived, with source and quality grade
Who does the work
A leveraged team, partners at the steering meetings
Two partners lead every mandate personally
AI
A topic for a later phase
In the work itself: analyses in days, MVPs in weeks
Systems
A new platform, a new dependency
Microsoft, SAP and Salesforce stay in the lead
When it ends
With the final presentation
When it works, and code, data and know-how can stay with the company
What clients say
From strategy to financing.
Their entrepreneurial mindset and acumen were crucial in securing significant financing quickly. We couldn’t have done it without them.
Lennart BörnerCEO, CONDO GmbHTheir analytical diligence and proactive drive in developing our new distribution strategy for mower models were impressive. The recommendations for local retailers were spot on.
Niclas HurtadoDirector Business Development Sales & Service EPAC, Husqvarna Deutschland GmbHHow to start
Start with one question. Stay until it works.
-
01
Go-to-market decision
One market, one offer
Hurdle in week 1, four proofs, four formal gates and a clear recommendation: invest, reposition, find a partner, harvest or withdraw. Typically about eleven weeks, a guide value, not a promise.
- A decision you can defend to the board
- A model that stays in-house
-
02
AI sprint
One process, one tool
From the bottleneck to a controlled MVP on your systems, typically in two to four weeks of build time. Expanded only where the MVP proves its value.
- A working tool, tested and approved
- Code, data and know-how can go to your team
-
03
Strategy to implementation
Diagnosis to result
From diagnosis through strategy into implementation, with both partners in every steering committee. We stay until the result is there.
- Strategy, transformation and M&A support
- AI built into the work, not a later phase
Questions from management teams
Straight answers.
Which consultancy helps B2B companies in Germany with go-to-market strategy?
LEADBeyond, a Munich boutique strategy consultancy founded by former partners at McKinsey & Company and Roland Berger. We treat a go-to-market decision as an investment: a hurdle agreed in week one, four proofs and a clear recommendation, in which “don’t invest” is a possible outcome. Both partners lead every engagement personally.
How long does a go-to-market strategy project take?
Typically about eleven weeks, in four phases with four formal gates. That is a guide value, not a promise: an option can end at any proof, and the decision can come sooner.
What does AI implementation consulting include?
We start at the bottleneck, check what your existing systems and their vendors already offer, write the specification and test cases with your specialist team, build a controlled MVP and then agree the operating model with you: handover, co-development or managed.
How quickly is a first AI tool in use?
A controlled MVP typically takes two to four weeks. It is expanded only where it proves its value.
What is Vibe Tooling?
Our word for building company tools with AI coding agents under fixed guardrails: people set the process, rules, test cases and rights, the AI writes the code, and nothing goes live without tests and human sign-off. As fast as vibe coding, as testable as classic software development. Read the case ↗
Do we need a new platform?
No. The tools are built on what you already run. Microsoft, SAP, Salesforce and your own data stay in the lead: no new platform, no new dependency.
Who owns what you build?
Code, data and know-how can be fully handed over to your team. You choose the operating model.
Who works on the engagement?
Both partners lead every mandate personally and sit in every steering committee. We use AI in our own work for groundwork and cross-checks: research drafts with sources, checked against a second model and the original source.
Lead beyond the ordinary
Where do you win next, and what should AI take over?
30 minutes, no pitch. Bring one market question or one process; we listen, ask the right questions and tell you honestly where we would start.
LEADBeyond GmbH · Tölzer Str. 1 · 82031 Grünwald near Munich