The AI Services Directory: 21 Services and an Implementation Process Guide
The synthesised.ai services directory maps 21 AI services plus an implementation process guide, from readiness assessment through strategy, build and integration to training and change support, primarily for firms in Australia and Singapore, and New Zealand where engaged.
AI Services Directory
| AI Service | What It Covers | Delivery Stage | Best For | Page Type |
|---|---|---|---|---|
| AI Consulting Services | Advisory and delivery run as one engagement, from problem framing to production build. | Full engagement | Firms wanting one accountable team end to end | Service |
| AI Readiness Assessment | A structured audit scores data, systems, skills and governance gaps before any build starts. | Assess | Firms unsure where to begin | Service |
| AI Strategy & Roadmap | A sequenced roadmap ranks AI initiatives by payback and feasibility, not hype. | Plan | Leadership teams setting the AI agenda | Service |
| AI Transformation Consulting | A costed, stage-gated programme carries a roadmap across workflows, people, data and governance. | Programme | Organisations past the pilot stage | Service |
| AI and Machine Learning Consulting | Method choice between rules, predictive machine learning and generative AI, with data readiness checked before a model is trained. | Plan | Teams unsure whether a problem needs a model | Service |
| AI Implementation Services | Engineering delivery takes pilots through testing, integration and production rollout. | Build | Teams with a validated pilot to ship | Service |
| AI Workflow Automation | Monitored AI workflows replace manual, repeated process steps, aiming to return staff hours (measured per engagement). | Build | Operations leads drowning in manual process | Service |
| Generative AI Consulting | Generative AI programmes ship with guardrails, evaluation and rollout controls in place. | Build | Firms deploying LLM tools safely | Service |
| AI Integration Services | AI capability embeds inside the CRM, ERP and data systems already in use. | Embed | IT owners protecting the current stack | Service |
| Microsoft Copilot Consulting | Evaluation, governance and adoption controls move a licensed Copilot rollout from pilot to production. | Embed | Firms with a Copilot licence stuck in pilot | Service |
| AI Training & Enablement | Role-based training aims to build teams that apply AI in daily work. | Train | HR and capability leads | Service |
| Fractional AI Officer | Part-time executive AI leadership covers strategy, governance and vendor decisions. | Lead | Mid-size firms without a CAIO budget | Service |
| AI Automation Agency | Build-and-run automation delivery operates as an ongoing service for Australian firms. | Build and run | AU firms wanting managed automation | Service |
| Enterprise AI | Enterprise AI applications built around the data boundary, with private deployment, access control, evaluation and observability. | Build | Enterprises whose AI stalls at security review | Service |
| Enterprise AI Solutions Singapore | Enterprise engagements fit Singapore stacks, procurement frameworks and regulatory context. | Scope | SG enterprises and procurement teams | Service |
| AI Chatbot Development | Custom chatbots answer from company data with accuracy tested against a defined bar and escalation controls. | Build | Service and sales teams with query volume | Service |
| Enterprise Conversational AI | Grounded, identity-aware assistants answer and act across channels and languages, with handover to a person. | Build | Enterprises running assistants across departments | Service |
| AI CRM & ERP Automation | Record automation reduces rekeying between in-scope CRM, ERP and finance systems. | Embed | Firms with duplicated data entry | Service |
| Custom AI Agent Development | Task-specific agents operate with permissions, logging and human checkpoints. | Build | Teams automating multi-step tasks | Service |
| Agentic AI for Enterprise | Agent orchestration, tool permissions, human checkpoints, evaluation and cost control come before the platform choice. | Build | Enterprises coordinating several agents | Service |
| AI Change Management | Adoption programmes aim to sustain usage past go-live through role redesign and measurement. | Sustain | Firms where past rollouts stalled | Service |
| Our AI Implementation Process | The delivery method runs from scoping to handover in defined, gated stages. | Reference | Buyers verifying how delivery works | Process guide |
The directory today lists 21 AI services and one implementation process guide, spanning the confirmed engagements Synthesised.ai delivers.
Choosing the Right Entry Point
Your starting service depends on where your AI programme stands today, not on any tool preference.
- Not yet started with AI? Begin with the AI Readiness Assessment, which scores data, systems, skills and governance gaps before any build starts.
- Strategy agreed but nothing built? Begin with AI Implementation Services, which takes pilots through testing, integration and production rollout.
- One painful manual process? Begin with AI Workflow Automation, which replaces manual, repeated process steps and returns staff hours.
- Already licensed Microsoft Copilot but adoption stalled? Begin with Microsoft Copilot Consulting, which moves a licensed Copilot rollout from pilot to production.
- Rolled out tools nobody uses? Begin with AI Change Management, which sustains usage past go-live through role redesign and measurement.
Why Tool-First Selection Fails
Service scope, as much as software choice, shapes AI outcomes, because the assess, plan, build and embed sequence influences whether a tool produces value (alongside software fit, data, governance, users and process). A services directory can work like an ERP module list: an operations team often licenses the modules its process gap needs rather than the whole suite, because unused modules add cost without touching the gap. Similar selection logic scopes AI services. A readiness assessment fills a diagnostic gap, a workflow automation engagement fills an operational gap, and a chatbot development engagement fills a customer-service gap. Reading the whole directory end to end wastes the same effort a buyer wastes scanning every ERP module before naming the one finance actually needs. The directory above functions as that module list, not as a catalogue meant for cover-to-cover reading.
Buyers who start from a tool shortlist risk buying the licence before scoping the gap, and the workflow underneath can stay much as broken as before the purchase. A chatbot licence does not by itself audit the data it draws from, a workflow-automation licence does not by itself map the process it is meant to replace, a CRM AI add-on does not by itself clean records duplicated across two systems, and a Copilot licence does not by itself govern or evaluate its output. A capable tool can sit unused when the process step it was meant to remove stays assigned to a person. Scoping the service first (the assessment, the roadmap, then the build sequence) addresses the process before a licence is issued, so the tool inherits a gap it can more readily close.
How Engagements Are Structured
Every engagement starts with a scoping conversation, which directs the enquiry into AI Consulting Services, which runs advisory and delivery as one team. Every commercial enquiry routes through the enquiry form, and no Synthesised.ai list prices or fees are published on this page (external market-rate context that appears on some service pages is third-party, not Synthesised.ai pricing).