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SolutionPlus

AI automation

We integrate AI into your operations and train your team to run it.

We map the workflow first, check its data flows and permissions, then connect the systems it depends on. Where AI earns its place, we integrate it with human review at the steps that need judgment, and we train your team with playbooks and handover sessions so adoption survives our departure. Fixed scope, weekly demos, and handover with playbooks. Seniors own decisions and QA while AI accelerates the routine.

Team mapping a business workflow on a shared process diagram before automating it

AI automation

What we deliver

Concrete deliverables, clearly scoped. You know before we start what you will have at the end.

Process analysis & optimization

We dive deep to identify hidden bottlenecks, eliminate redundancies, and fix error-prone steps. By aligning with industry best practices, we define crystal-clear ROI metrics before a single line of automation code is written.

Workflow automation

We use low-code platforms (n8n, Zapier) for fast rollouts, or custom AI agent frameworks (LangChain, AutoGen) for complex, logic-heavy workflows. We build hybrid paths for phased delivery and total control.

System integration

Real-time API syncs across your entire stack. From custom Python ETL pipelines to ERP, CRM, and HR integrations, we keep your data flowing securely across AWS, Azure, or GCP.

AI-powered process intelligence

Transform raw data into actionable insights with intelligent document routing, autonomous decision-making, and advanced predictive forecasting to keep you steps ahead of anomalies.

Team enablement & adoption

We train the people who will run the system: playbooks for common cases, validation routines for human handoffs, and office hours during the first weeks of live operation. Adoption is measured, not assumed.

SolutionPlus team in delivery: weekly demos, documented decisions

Why our approach works

  • We fix the workflow before we automate it.

    We set a baseline and choose the smallest useful pilot. We measure the operational result before we scale.

  • Tool-agnostic execution

    We pick exactly what fits your unique architecture. No over-engineering, zero vendor lock-in.

  • Quick wins + scalable plans

    Start small to prove immediate value, then scale aggressively when you are ready.

  • Clear, measurable results

    We track before-and-after metrics so you can measure true ROI, not guess it.

  • AI-accelerated, senior-approved

    AI drafts process maps, test cases, and docs while seniors approve every gate. You pay for judgment, not boilerplate.

Process

How we work

  1. Step 1: Discovery & analysis

    We map your workflows to find the friction and capture root causes, spotting quick wins to define metrics early on.

  2. Step 2: Redesign & validation

    Rebuilding workflows to drastically reduce waste, errors, and manual handoffs while aligning with stakeholder goals.

  3. Step 3: Tool selection & pilot

    Matching the perfect automation approach to your process type, deploying pilot workflows in just 2-6 weeks.

  4. Step 4: Scale & optimize

    Rolling out incrementally while continuously monitoring and refining based on real user feedback and performance data.

How an engagement runs

Fixed-scope pilot, then time and materials
The pilot has a capped budget and a defined workflow. Scaling work bills at our blended senior rate of $25–49 per hour, with monthly reporting against the metrics set in the pilot.
Pilot live in 2–6 weeks (planning assumption)
The range depends on system access, data quality, and how many tools the workflow touches. We confirm the number after the discovery week, before you commit.
One accountable delivery lead plus two to four senior engineers
The delivery lead owns scope, decision records, and stakeholder communication. Senior-only engineers build and test; shared working hours with Germany and the US East Coast are part of the setup.

Tooling

Technology stack

Low-code
n8n
Zapier
Microsoft Power Automate
Make
AI frameworks
LangChain
AutoGen
CrewAI
Semantic Kernel
OpenAI
APIs & data
REST
GraphQL
Apache Airflow
Pandas
Cloud & DevOps
AWS
Azure
GCP
Docker
Kubernetes
GitLab
Compliance
GDPR-ready
end-to-end encrypted
auditable solutions

What you walk away with

  • Working automation in your accounts

    Flows, agents, and integrations run in your n8n instance, your cloud, your repositories. No dependency on our infrastructure.

  • Decision record & process map

    What we automated, what we deliberately left manual, and why. New stakeholders get up to speed without a meeting.

  • Playbooks & training sessions

    Written guides for operating and extending the system, plus recorded handover sessions for your team.

  • Measurement baseline & dashboard

    The before-numbers from discovery and a live view of runs, failures, and time saved, so ROI is a reading, not a guess.

Is this the right service?

A good fit if...

  • A team loses hours each week to the same repeatable workflow, and the rules behind it fit on a page.
  • You want AI where it helps, with a human check where judgment or liability is involved.
  • Your data lives in several systems and nobody wants to hire people to copy it between them.

Probably not if...

  • You are looking for a research-grade custom model. We integrate proven models into workflows; we do not train foundation models.
  • The process changes every week and nobody can describe it. Automate stability, not chaos; we will tell you to fix the process first.
  • You need a fully on-premise AI stack with no external API calls. That rules out the API-based models we typically integrate, and we will say so upfront.

For a German automotive intelligence company, our embedded team builds data-heavy platforms where validation and traceability are mandatory. The same discipline applies when we integrate AI into your workflows.

Read the case study

Built for the German business environment

International companies running software and AI in Germany need more than engineering capacity. They need a partner who works the way German teams, procurement, and data protection officers expect. Your contract partner is SolutionPlus UG in Berlin.

  • German-speaking delivery lead

    One accountable lead runs decisions, written updates, and handover in German or English. Your team in Germany is never the last to get context.

  • DSGVO and GDPR by design

    Data-minimising architectures, EU hosting options, processing records, and DPAs (AVV) prepared together with your data protection officer.

  • German contracts and invoicing

    EUR quotes, phased statements of work, German jurisdiction, and documentation that stands up to procurement and internal audit.

  • Integrates with German systems

    We connect DATEV, SAP, Microsoft 365, Personio, Shopware, and your existing ERP or CRM instead of asking you to replace them.

  • Shared hours with Germany and the US

    Shared working hours with Germany, plus enough shared time for US stakeholders so both sides keep moving.

  • EU AI Act readiness

    Human review, audit trails, and model documentation for the AI systems we build, aligned with how German auditors expect AI to be governed.

Get in touch

Let’s build what’s next

Book a consultation and get tailored support for your product stage. Estimates available in EUR or USD.

  • Fixed scope, weekly demos

    Your product factory for custom software. We diagnose your bottleneck first, then ship in fixed, weekly-demoed steps.

  • Shared working hours

    Shared hours with Germany and the US East Coast, synchronous when it matters.

  • From MVP to scale-up

    One partner across AI, web, mobile, and UX — through every stage of your product.

Email us

admin@solutionplus.io

Response time

Within one business day

Clear & direct

You're not the first to ask, and we're ready.

01

What types of processes can you automate with AI?

We automate repetitive workflows such as data entry, intelligent lead routing, complex reporting, customer support triage, document processing, and multi-step operational tasks across departments.

02

Do you build custom AI workflows or use existing tools?

Both. We design bespoke automation using deep API integrations and AI agents, while also using enterprise tools like n8n and Zapier to keep solutions fast, scalable, and cost-efficient.

03

How quickly can AI automation be implemented?

Thanks to our agile process, most automations go live within 1–3 weeks, depending on system complexity, integration depth, and your specific data requirements.

04

How much does AI automation cost?

Pilots typically run as a fixed-scope phase over 2 to 6 weeks; price depends on process count, system connections, and review needs. Every quote starts from the cost calculator bands and is fixed in writing before we build.

See all 4 questions