— Technology & AI · 19 tiers · Agent-augmented

Transforming the entire technical operations to Agentic Workflows

We help Growth and Enterprise companies move from AI-curious to AI-enabled by building capability and deploying systems across core operations — from development and project management to leadership and organizational structure. Most companies are already experimenting with AI, but the constraint is no longer access to models. It is team enablement, workflow redesign, and operational fit for agentic ways of working. We address this through two structured paths — tailored AI trainings on existing commercial tools or custom-built AI agents.

— Delivery team
1–3 seniors
— vs. traditional
5–15 people
— Service tiers
19 total
— Region
Germany
— 01 / Speed & cost
Human Governance
Experts control the operations, supported by an orchestrated agent fleet, not a large team. We automate repeatable work and processes to lower cost, enable faster delivery, and full monitoring.
— 02 / Range
One partner across the whole stack.
Tech debt, app engineering, migrations, ERP, security, data, AI, product management, design, research, and hiring — one accountable partner instead of five vendors who don’t talk to each other.
— 03 / Skin in the game
We’ll buy the business, not just advise it.
Tier 18 goes past advising into acquiring and operating a company outright. The result: a different kind of credibility than a consultant who leaves when the invoice is paid.
— Family A

Product Development & Analytics.

What’s actually true about your users, the roadmap and design system built on it, and the analytics that prove whether it’s working — the full product lifecycle, senior-led and agent-augmented.

4 tiers
project + retainer
insight-led
01Study + retainer

User Research

Finds out what’s actually true about your users, not what you assume.

1–2 people + AI synthesis pipeline
  • Qual: interviews, contextual inquiry, card sorting
  • Quant: surveys, significance testing, behavioural
  • Usability & prototype testing, panel management
  • AI-supported coding, synthesis & synthetic pre-testing
◇ Agents transcribe and theme hundreds of interviews; a human still catches the polite non-answer.
Ideal forTeams whose only feedback loop is support tickets and untested assumptions.
02Build + governance

Product Design

Builds the design system and visual language that scales across platforms.

1–2 people · Senior design lead + tooling
  • Component libraries, tokens & theming
  • Cross-platform systems: web, iOS, Android
  • UX/UI execution, prototyping & design QA
  • Accessibility by design, governance & adoption
◇ Agents scan the live codebase for drift and check shipped UI against Figma. Taste stays a human call.
Ideal forCompanies with inconsistent UI across surfaces, or expanding into new platforms.
03Retainer

Product Management

Turns strategy into a roadmap the team can actually execute.

1 senior PM + agent fleet · Embedded or fractional
  • Roadmapping, prioritisation & backlog grooming
  • Discovery, spec writing & cross-functional alignment
  • OKRs, KPI trees & release planning
  • Stakeholder reporting & scope negotiation
◇ Agents draft specs, summarise stakeholder feedback, and keep the backlog groomed. Trade-off calls stay a senior’s job.
Ideal forCompanies with engineering capacity but no one accountable for what gets built and why.
04Build + light retainer

Product Analytics

Turns product usage into decisions, not just dashboards.

1 analyst + agent fleet · Setup then ongoing
  • Event tracking, tracking plans & instrumentation QA
  • Funnel, retention & feature-adoption analysis
  • A/B testing & experimentation infrastructure
  • Executive dashboards & north-star KPI reporting
◇ Agents flag tracking-plan drift and surface anomalies automatically, and answer natural-language questions about the data so leadership can just ask.
Ideal forTeams shipping features with no clear read on whether anyone uses them.
— Family B

Technology & AI.

Build it, run it, and wire agents into it. The everyday engineering layer that keeps a product alive and shipping — delivered senior-first, automated where automation earns its place.

7 tiers
retainer + project
agent-heavy
— AI & Agentic Systems
Agents that do the work, not chatbots on a website.
We design and ship AI agents for research, decision support, and workflow automation across your real systems — on OpenAI, Claude, or your own model stack. Every agent is evaluated with an evidence-and-judge pattern before it touches production, so it earns its place instead of just impressing in a demo.
— Machine Learning & Data
Decisions built on your data, not a generic benchmark.
Warehouse architecture, tracking plans, and the ML layer on top of them — forecasting, personalisation, anomaly detection — tuned to your own metrics. If your team is still deciding by gut feel, this is the fix.
— Platform, DevOps & Delivery
A small team that ships like a much bigger one.
CI/CD, infrastructure-as-code, and the internal tools that replace your spreadsheet-and-email layer — with agents handling the repeatable pipeline work and a senior engineer owning what actually matters.
05Retainer

Tech Debt & Ops

Keeps the product alive, secure, fast, and compliant — continuously.

1 senior engineer + agent fleet · No PM required
  • Bug fixing, incident response & production support
  • Cloud, infrastructure & FinOps cost optimisation
  • Security & dependency hygiene, CVE patching
  • SEO health, WCAG / BITV accessibility, QA & Core Web Vitals
◇ Agents run nightly dependency, test, performance & security pipelines; the senior engineer reviews what matters.
Ideal forTeams whose maintenance backlog keeps eating their roadmap budget — or with no engineering capacity at all.
06Project

Feature & Product Delivery

Ships roadmap features without hiring a product team.

2–4 people · Typical cycle 4–12 weeks
  • Discovery, scoping & feasibility spikes
  • Product planning, release & dependency mapping
  • Design-to-dev handoff, code review, phased rollout
  • Validation: user research, A/B tests, adoption tracking
◇ Agents draft specs, review pull requests, and speed prototyping. Aligning five stakeholders is still a human conversation.
Ideal forCompanies with a defined roadmap but not enough internal engineering capacity to ship it.
07Project + retainer

AI & Agentic Enablement

Builds and audits the AI features your business runs on.

1–2 people · Build + ongoing evaluation
  • Internal copilots & knowledge-grounded assistants
  • Agentic workflow automation across systems
  • RAG & retrieval pipelines on your own data
  • Hallucination auditing, eval pipelines & guardrails
◇ The differentiator: we audit an AI feature for reliability with an evidence-and-judge pattern — not just build one.
Ideal forCompanies who’ve shipped an AI feature with no rigorous way to know if it’s accurate.
08Project

Platform & DevOps Modernization

Makes shipping software fast and safe.

1–2 people · Often bundled with Tier 5 or 11
  • CI/CD pipelines, blue-green & canary releases
  • Infrastructure-as-code, environment standardisation
  • Docker / Kubernetes, observability & alerting
  • Developer experience & internal tooling
◇ Agents configure pipelines and detect infrastructure drift — turning a DevOps hire into a bounded, hand-off project.
Ideal forTeams shipping slowly from manual deploys, inconsistent environments, or no production visibility.
09Project

Internal Tools & Workflow Automation

Replaces the spreadsheet-and-email layer that runs your ops.

1 person · Days to a few weeks per tool
  • Process discovery of manual, error-prone workflows
  • Lightweight custom apps for ops, finance, HR, support
  • Dashboards for non-technical stakeholders
  • Automation scripting between SaaS tools
◇ Fast, low-risk, high-visibility — often the quickest way for a new client to see the model working.
Ideal forAny team that has said “we just use a spreadsheet for that” one too many times.
10Project

Web & Mobile App Engineering

Builds your product from zero to a shipped app — web, iOS, and Android.

2–4 people · Typical build 8–16 weeks
  • Native & cross-platform builds — iOS, Android, React Native/Flutter, PWA
  • Architecture from zero: tech stack selection, API design, data model
  • PoC & MVP sprints to validate before committing to full build
  • App store submission, release engineering & post-launch stabilisation
◇ Agents scaffold boilerplate, generate test suites, and port design tokens straight from Figma — the senior engineer owns the architecture calls that decide whether it scales.
Ideal forCompanies launching a new product, platform, or market — or teams whose “app” is still a spreadsheet wearing a UI.
11Build + light retainer

Data & Analytics Platform

Turns scattered data into decisions leadership can trust.

1–2 people · Build then maintain
  • Warehouse / lake architecture & ETL pipelines
  • BI dashboards & executive KPI reporting
  • Event tracking, tracking plans & attribution
  • Governance, GDPR/DSGVO handling & forecasting
◇ Agents generate pipelines, detect data-quality anomalies, and add natural-language reporting so leadership can just ask.
Ideal forCompanies deciding by gut feel, or spreadsheets reassembled every reporting cycle.
— Family C

Enterprise Systems & Security.

The systems plumbing that quietly caps the business, and the protection most companies can’t run in-house — integrated, modernised, and hardened while the car is still driving.

4 tiers
project + retainer
high-stakes
12Project + retainer

Microsystem Takeover

Owns the logistics, payment, and marketplace plumbing.

2–3 people · Integration architect + engineers
  • Carrier APIs: DHL, DPD, GLS, Hermes, UPS + WMS
  • Payments: PayPal, Stripe, Klarna, Adyen, reconciliation
  • Marketplaces: Amazon, Zalando, Otto, eBay, Kaufland sync
  • ERP / CRM / PIM connectivity & order-flow monitoring
◇ Agent reconciliation catches mismatches across systems far faster than a human scanning spreadsheets.
Ideal forMulti-channel retail whose system landscape grew into a tangle nobody fully understands anymore.
13Fixed-scope

Migration Projects

Moves you to a new platform, cloud, or database without breaking anything.

2–3 people vs. a traditional 6–10 team
  • Replatforming: legacy monolith to headless commerce
  • Cloud migration: on-prem to Hetzner, AWS, GCP, Azure
  • Database migration with zero-downtime cutover
  • Parallel-run validation, rollback & regression testing
◇ Biggest compression: codemods, dependency-graph analysis & AI-generated tests for legacy code turn months into weeks.
Ideal forCompanies on end-of-life systems, or merging tech stacks after an acquisition.
14Transformation

ERP Implementation

Plans, configures, and rolls out core business systems.

3–5 people vs. a traditional 8–15+
  • As-is / to-be process mapping & gap analysis
  • Data cleansing, mapping & migration
  • Module configuration & custom workflow development
  • Change management, go-live & hypercare
◇ Agents shrink the technical workstream; a smaller team means more senior attention on the human negotiation that decides success.
Ideal forMid-market companies outgrowing spreadsheets or legacy ERPs. Only 42% of German SMEs run ERP today.
15Retainer

Security, Compliance & Risk

Continuous protection most companies can’t run in-house.

1 security engineer + automated pipeline · Nightly
  • Automated + manual pentesting, nightly cadence
  • GDPR/DSGVO, SOC 2 & ISO 27001 readiness
  • Secrets management & least-privilege reviews
  • Vulnerability & CVE management, incident response
◇ A nightly pentesting fleet does the work of a small security team — catching fail-open and cross-tenant bugs annual reviews miss.
Ideal forAny company handling customer data or payments — especially those never given an ongoing review.
— Family D

Leadership & Education.

The senior technical judgment most companies can’t justify hiring full-time — deliberately not automated — paired with hands-on AI training so your own team builds the judgment over time.

2 tiers
retainer + cohort
trust layer
16Retainer · days/mo

Fractional Technical Leadership

Senior technical judgment, without a full-time hire.

1 senior person · The human-judgment tier
  • Interim / fractional CTO or CPO
  • Architecture & technical-risk review
  • Build-vs-buy, vendor & stack rationalisation
  • Technical due diligence for M&A, board reporting
◇ Deliberately not automated. Judgment and accountability are the product — an accountable senior making the call.
Ideal forCompanies without a technical co-founder or CTO, or raising capital / being acquired.
17Cohort + retainer

AI Enablement & Training

Turns AI-curious teams into AI-enabled teams, on your own workflows.

1 senior trainer + agent fleet · 4–8 week programme
  • Workflow audit: where AI actually saves hours, and where it doesn’t
  • Curriculum built on your own tools, data & tasks — not generic slides
  • Hands-on workshops for leadership, technical & non-technical staff
  • Adoption toolkit, roadmap & 60-day post-programme support
◇ Practice-first, not lecture-first. Every session ships a working output your team keeps and owns — inside your own systems, under your own governance.
Ideal forTeams already experimenting with AI tools ad hoc, with no structured way to turn that into a repeatable capability.
— Family E

Ecosystem & Platform.

Where the framework compounds into equity, and where our own product ships. We’ll buy the succession-ready business and run the playbook on it — and our Mirage hiring platform absorbs the screening bottleneck for staffing firms.

2 tiers
principal + platform
the compounding layer
18Acquisition · principal

Business Acquisition & Digital Turnaround

Buys the company outright, then runs the entire framework on it as an investment — equity value, not a billable engagement.

Deal team + the full Tier 1–17 specialist bench · Direct acquisition or operating-partner for PE / search funds
  • Sourcing via nexxt-change, IHK, Sparkasse & Volksbank M&A desks
  • Financial, technical & security due diligence in one pass
  • Deal structuring: seller financing, KfW-backed loans, earn-outs
  • 90-day post-acquisition digital audit & sequencing
  • Operational digitalisation using Tiers 1–17 as the internal playbook
  • Growth layer: AI, product analytics & hiring automation (Tiers 4, 7, 19)
◇ Why now: ~186,000 German companies need a succession solution 2026–2030 (IfM Bonn); close to 3 in 10 go to an external buyer — many operationally sound but years behind on digitalisation.
Ideal forCash-flow-positive SMEs where the owner is nearing retirement with no successor and a real digitalisation gap. Also offered as an operating-partner service to search funds, small PE, and family offices.
19Our platform · Mirage

Hiring Automation & Recruiting Pipeline

Our own Mirage platform — a full AI-native recruiting pipeline that replaces the manual screening bottleneck eating most of a recruiter’s week.

Platform subscription + onboarding · 1–2 people to configure, then largely self-running
  • Deterministic multi-criteria sourcing & matching
  • Staged voice-AI interviews, consistent across every candidate
  • Evidence-based evaluation that catches hallucinated assessments
  • Role & skill taxonomies, persistent candidate memory
  • Secure agent connector layer with audit logging
  • GDPR-compliant data handling end to end
◇ A multi-agent pipeline end to end: voice AI interviews, evidence-based grading, deterministic ranking — the recruiter reviews decisions instead of making every screening call.
Ideal forStaffing agencies drowning in manual screening, and high-volume corporate talent teams. Only ~6% of DACH staffing firms consider themselves well-prepared for AI.
— Never all nineteen at once

We start with one entry point,
sized to what’s actually broken.

A security audit, a Mirage pilot on one job category, a 90-day digital audit, a bounded first tool. One clear deliverable — then we expand tier by tier on the proof, not a fresh pitch.