Intelligent automation that connects your tools, removes manual steps and keeps data in sync, with AI at the decision points. Monitored, fault-tolerant and handed over with full documentation. Fixed price, 2–4 weeks.
By Dnyanesh Chandewar, Founder, CyberCore
Most operations teams run on a chain of tools: CRM, project management, finance, help desk, spreadsheets. People spend hours moving data between them and compiling reports. We build automation pipelines that connect those systems, apply AI where a decision or a summary is needed, and handle the edge cases a basic Zapier flow breaks on. The goal is a pipeline your team can trust to run without watching it.
Every engagement is scoped to your process, and typically includes:
We work in Python and FastAPI for custom pipelines, and use n8n where a visual workflow is the better fit. Typical integrations include HubSpot, Slack, Notion and Airtable, plus whatever your stack uses, with a model such as Claude or GPT added where the workflow needs judgement. We pick the lightest tool that is reliable enough, and we say so when a simple off-the-shelf automation is all you need.
An operations team was spending 10+ hours a week syncing data across CRM, project management and finance tools to compile reports. We automated the pipeline end to end, with AI-generated executive summaries, in a three-week build. Read the multi-system reporting automation case study. For workflows where the system must plan and act on its own, see AI agent development services.
Scoping (free): we map the process, agree what is automated and what stays manual, and quote a fixed price in writing. Build: a working pipeline connected to your real systems, with logging and alerting designed in. Test and hand-over: tested against real data and edge cases, deployed to your environment, with documentation and 30 days of post-launch support. Your team owns the system.
Every automation is quoted at a fixed price after a free scoping call, based on the number of systems involved, the complexity of the logic and the error handling required.
Most focused automations go from scope to production in 2–4 weeks. Larger multi-system builds take longer and the timeline is agreed in the written scope.
Those tools suit simple, linear flows. We build monitored, fault-tolerant pipelines with logging, alerting and AI decision-making for processes that need to handle edge cases at scale. If a simple tool is enough for you, we will tell you.
You do. We hand over the code, configuration and documentation, deployed in your own infrastructure.
Book a 30-minute call. You'll leave with a clear view of what could be automated and a fixed price if it makes sense.
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