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. One accountable delivery lead owns the decision record and QA gates; senior engineers across our offices build and test the integration before production.
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.
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.
Process
How we work
Step 1: Discovery & analysis
We map your workflows to find the friction and capture root causes, spotting quick wins to define metrics early on.
Step 2: Redesign & validation
Rebuilding workflows to drastically reduce waste, errors, and manual handoffs while aligning with stakeholder goals.
Step 3: Tool selection & pilot
Matching the perfect automation approach to your process type, deploying pilot workflows in just 2-6 weeks.
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 engineers across our Germany, UAE, and Pakistan offices build and test; overlap with European and US business hours is part of the setup.
Tooling
Technology stack
- Low-code
n8n
ZapierMicrosoft Power Automate
Make- AI frameworks
LangChainAutoGen
CrewAISemantic Kernel
OpenAI- APIs & data
- REST
GraphQL
Apache Airflow
Pandas - Cloud & DevOps
AWSAzure
GCP
Docker
Kubernetes
GitLab- Compliance
- GDPR-readyend-to-end encryptedauditable 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 studyMore work in this area
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.
Germany, UAE & Pakistan
One international team with clear ownership and senior engineering — never blackbox outsourcing.
EU & US timezone overlap
Daily overlap with teams in Germany and the US — 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.
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.
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.
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.