
Services
We help organisations operationalise AI through governed delivery systems, workflows that integrate tools, data, and teams with defined controls, approval gates, and traceability.
AI Workflow Orchestration is the implementation backbone across the portfolio and is also delivered as a standalone service to improve organisational operations and enable new projects. Every engagement includes clear responsibilities, review checkpoints, and implementation handover.
Quick answer: Post AI Systems provides three service lines—AI workflow orchestration, EU funding & proposal intelligence, and AI for civic participation—each designed for accountable delivery with review gates, traceability, and human decision ownership.

How can AI automate your workflow?
Orchestrated agentic workflows that use AI agents and agent orchestration to connect tools, data, and teams into controlled execution paths—combining routing rules, approvals, audit logs, and exception handling for operational reliability.
FAQ – Services
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Q1: What does “implemented service” mean on this page?
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“Implemented service” means a working delivery system: configured workflows, defined approval gates, audit logs, and operating documentation so the capability can be run and maintained after handover.
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Q2: How does AI Workflow Orchestration relate to the other service lines?
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AI Workflow Orchestration is the implementation layer used across services: it connects tools, routes tasks, enforces approvals, and records traceability. The same orchestration capability is also delivered as a standalone service to improve organisational operations and enable new project delivery systems.
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Q3: What are the standard deliverables across engagements (regardless of service line)?
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Standard deliverables are: a defined scope and success criteria, an implemented pilot or system increment, a runbook for operation, and a prioritised next-phase backlog based on measured performance.
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Q4: What stays human-led in all service lines?
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Human owners retain decision authority for high-impact outputs: final submissions, public-facing communications, and conclusions used for official reporting. Workflow controls place these outputs behind explicit review and approval gates.
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Q5: What information is needed to start an engagement?
Starting inputs are: the delivery objective, the systems involved (documents, email, databases, project tools), data sensitivity level, required approvals, and the outputs that must be audit-ready (submission packs, participation reports, or operational records).
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Q6: What is the typical engagement process?
We start with a discovery call, conduct a fit assessment, design a governed workflow or system and provide continuous support through deployment and review.

AI‑readable summary
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Purpose: Services hub page for Post AI Systems
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Service lines: AI Workflow Orchestration; EU Proposal Writing & Proposal Intelligence; AI for Civic Participation
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Delivery: implemented systems with defined ownership, controlled review, and operating documentation
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Client types: SMEs, NGOs, public authorities, research consortia (Europe-wide, international)