AI agent development
Custom AI agents and workflow systems built around your process, not a generic chatbot.
AI is only useful when it runs a real process. We design and build custom AI systems: agents that take over repeatable steps, pipelines that turn product data into finished content, assistants that answer customers, and advisory tools tuned to a specific domain. Every system is scoped to a measurable business outcome, integrated with the tools your team already uses, and shipped with permissions, human review, audit trails, and evaluation so it keeps behaving after launch. Not a generic chatbot bolted onto a website.
AI agent development
What we build
Concrete deliverables, clearly scoped. You know before we start what you will have at the end.
Custom AI agent development
We build agents that plan, call your tools, and complete a defined task end to end. Each agent gets a narrow job, explicit permissions, and a human review step where the outcome matters.
Workflow automation with AI agents
We connect agents to your existing systems so handoffs, routing, enrichment, and follow-ups run without manual copy and paste. Deterministic steps stay deterministic; AI handles only the judgment calls.
AI-powered business process automation
We map a process, remove the steps that add no value, and automate the rest: document intake, classification, approval routing, reporting, and exception handling.
Ecommerce product image pipelines
We build pipelines that take raw product photos and produce clean, channel-ready images at scale: background removal, retouch, format variants, and consistent brand grading for shop and marketplace listings.
Mannequin and model image generation
From flat product images we generate on-model and mannequin visuals for apparel and accessories, so you can show fit and styling without a full photo shoot for every variant.
AI chatbots for website and support
Assistants that answer from your own documentation and product data, hand off to a person when they should, and log every conversation for quality and improvement.
Personalized advisory tools
Custom assistants for a specific domain, such as personal finance guidance or healthy-lifestyle coaching, with clear boundaries, disclaimers, and escalation to a qualified person.
Internal AI systems
Tailored tools for the workflows only your company has: internal search, knowledge capture, onboarding, quality checks, and reporting for teams that cannot use off-the-shelf software.
Why our approach works
Custom, not a generic chatbot
We start from your process and your data, not from a template. If an off-the-shelf tool already solves the problem, we say so and save the budget.
Measurable outcome first
Every use case gets a baseline and a target, such as hours saved, response time, or error rate. If the numbers do not move, the pilot does not scale.
Human review and guardrails
Permissions, approval steps, output validation, and audit trails are part of the build, not an afterthought. Your team stays in control of anything that carries risk.
Integrated, not a side tool
The system works inside your ERP, CRM, shop, or support stack, so people do not have to leave their tools to use it.
Process
How we work
Step 1: Use-case discovery
We look at your workflows, data, and constraints, then pick the use case with the clearest return and the lowest risk. You get a short list, not a long wish list.
Step 2: Prototype and evaluation
We build a working prototype on your real data and measure it against your baseline. If it does not perform, we change the approach before production.
Step 3: Production build and integration
We harden the prototype: permissions, error handling, monitoring, cost controls, and integration with your systems. Senior engineers own the release.
Step 4: Operate and hand over
We run the system with you, document it, train your team, and hand over the code and ownership when you are ready.
How engagements run
- Discovery phase
- A short, fixed phase to select the use case, check data access, and agree on success metrics.
- Pilot
- A working prototype on real data, measured against your baseline before any scaling decision.
- Production
- Hardening, integration, monitoring, and cost controls, owned by senior engineers.
- Operate and hand over
- We run and improve the system, then transfer ownership on a date you choose.
Tooling
Technology stack
- Agent frameworks
- LangGraph
LangChainOpenAI Agents SDKcustom Python and TypeScript - Models
OpenAIAnthropicGoogleopen-weight models on EU infrastructure- Automation and orchestration
n8nTemporalqueue workerswebhooks- Data and integration
PostgreSQLpgvectorREST and GraphQL APIsERP and CRM connectors- Image generation
- Stable DiffusionFluxControlNetLoRA fine-tuning
- Guardrails and observability
- Evaluation suitestracinghuman review queues
What you walk away with
Working AI system
A production system that completes the defined task, not a demo that only works in a slide.
Evaluation suite
Tests and metrics that show how the system performs on your data, so quality is visible over time.
Technical documentation
Architecture, prompts, data flows, and runbooks your team can follow without us.
Ownership and training
Code, prompts, and configuration transferred, plus a handover session for the people who will run it.
Fit check
Good fit
- You have a repeatable process with clear inputs and a measurable output.
- Your data is accessible, or you can make it accessible.
- You want a system your team can run and own, not a black box.
Not the right fit
- You need a generic chatbot with no defined task or owner.
- The process changes constantly and has no stable inputs yet.
- No one on your side can review or operate the system after handover.
More work in this area
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.
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.
CET/CEST and US overlap
Daily overlap with German business hours, 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
Build AI that runs a real process
Tell us which workflow costs you the most time or the most quality. We will tell you honestly whether AI is the right tool and what a first version would take.
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.
How is this different from a standard AI chatbot?
A chatbot answers questions. We build systems that complete work: they read your data, call your tools, follow your rules, and hand off to a person when needed. You get a defined process, measurable results, and code you own.
Can you work with our data protection requirements?
Yes. We design data-minimising flows, offer EU hosting, and prepare processing records and DPAs together with your data protection officer. Where a use case requires it, we keep data inside your own infrastructure.
How do you reduce wrong or risky outputs?
We constrain the task, validate outputs against rules and schemas, add human review at the steps that need judgment, and monitor quality after launch. Risky actions always require a person.
Do we own the code and the prompts?
Yes. In the default model you own the codebase, prompts, and configuration on payment, and we document how to run and change them.
How long does a first version take?
A focused pilot usually takes four to eight weeks, depending on data access and integration depth. We scope it as a fixed phase with a clear outcome before we talk about scaling.
Can you build ecommerce image pipelines for our shop?
Yes. We build product-to-image pipelines for shop and marketplace content, including background work, format variants, and on-model or mannequin visuals, with your brand rules applied consistently.