# AI Solutions: Strategy, Generative AI and Agents | SynconAI > AI solutions for business: AI strategy, generative AI, custom AI development, AI agents and systems integration, with governance built in, by certified architects. Publisher: SynconAI Canonical HTML: https://synconai.com/ai-solutions Markdown cite: https://synconai.com/ai-solutions.md Contact: contact@synconai.com ยท +61 2 7813 0221 ## What is an AI solution? AI solutions are AI applications built for specific business work: strategy and use-case selection, generative AI on company knowledge, custom AI features, AI agents, integration with business systems, and the governance that keeps them safe. SynconAI plans, builds and runs them on Salesforce Agentforce, OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio and open-weight models, for organizations in the United States, Australia and worldwide. - An AI solution is AI applied to one business job: an assistant, an agent, an AI feature in an app or an automation. - It works on your own data and systems, so answers and actions reflect your customers, products and policies. - It is governed: a named owner, a risk tier, human approval where it matters, and tests before every release. ## AI solutions services - AI strategy and roadmap: Use cases ranked, readiness checked and a roadmap leadership can fund. - Generative AI for business: Search, summaries, drafting and document processing grounded in your content. - Custom AI application development: AI features and apps built, tested and run in production. - AI agents on any platform: Agents on Agentforce, Claude, OpenAI, n8n or Copilot Studio, with human approval. - Connecting AI to your systems: AI linked to CRM, ERP, help desk and data warehouse through APIs and MCP. - AI governance: Policy, risk tiers and oversight aligned to NIST AI RMF and ISO/IEC 42001. - Salesforce Agentforce: Agents inside Salesforce, from Readiness to Launch Program. - Support and tuning: Prompts, tests and integrations kept current after go-live. ## Where should you start with AI? Most organizations are in one of three places. Each has a different first step. Question: Where are you with AI today? - Still deciding: Plan first. Leaders want AI, but nobody has agreed where it pays or what it needs. Start with AI strategy and roadmap. - Use cases found and ranked - Data, skills and governance checked - A roadmap with a business case - Pilots that stalled: Get one into production. A prototype did well in a demo but never reached real users. Start with generative AI or custom development. - Grounded in your own data - Tested against real cases - Deployed with monitoring - Ready to automate work: Put agents to work. A process runs by hand across several systems. Start with AI agents and systems integration. - Platform chosen by where the work lives - Human approval on steps that commit - Connected to your systems Outcome: One AI use case live, measured and owned, with a plan for the next ## What AI work can SynconAI do for you? Eight areas, delivered by one team, so strategy, build and governance stay connected. - AI strategy and roadmap: Use cases ranked, readiness checked and a roadmap leadership can fund. - Generative AI for business: Search, summaries, drafting and document processing on your content. - Custom AI application development: AI features and apps built, tested and run in production. - AI agents on any platform: Agentforce, Claude, OpenAI, n8n or Copilot Studio, with approvals. - Connecting AI to your systems: CRM, ERP, help desk and warehouse through APIs and MCP. - AI governance: Policy, risk tiers, decision rights and audit evidence. - Salesforce Agentforce: Readiness, Roadmap, Agent Pilot and Launch Program. - Support and tuning: Prompts, tests and integrations kept current. ## What does an AI solution consist of? Four layers we plan together, from the rules at the top to the systems underneath. A gap in any one of them stalls the project. - Governance (Who decides and how it is checked): AI policy, Risk tiers, Human approval, Audit logs - Applications and agents (What people use): Assistants, Agents, AI features in apps, Automations - Models and retrieval (Where the reasoning happens): OpenAI, Anthropic Claude, Google Gemini, Open-weight models - Data and integration (What AI reads and changes): CRM and ERP, Knowledge bases, Data warehouse, APIs and MCP ## Which kind of AI work do you need? Start from what you want to happen. Each goal leads to one place to begin. | You want to | Where we start | What you get | | --- | --- | --- | | Know where AI pays off | AI strategy and roadmap | Ranked use cases, a business case and a roadmap | | Let staff find answers in company documents | Generative AI for business | A grounded assistant that cites its sources | | Add an AI feature to your own product | Custom AI application development | A tested feature in production, with monitoring | | Have AI take steps across systems | AI agents on any platform | An agent with approval steps and an audit trail | | Give AI safe access to CRM, ERP or help desk | Connecting AI to your systems | APIs, MCP servers and event triggers with access control | | Set rules before AI spreads | AI governance consulting | Policy, risk tiers and decision rights | ## Should you use AI inside your existing apps or build your own? Three ways to put AI to work. Many organizations use more than one. | If you need | AI inside apps you own | Built on a model API | Open-weight model you host | | --- | --- | --- | --- | | Examples | Agentforce in Salesforce, Copilot Studio in Microsoft 365 | OpenAI, Claude or Gemini through their APIs | Llama, Mistral, Gemma or gpt-oss on your servers | | Fastest start | Usually, if the app already has the data | After a short build | Slowest, hosting comes first | | Where data is processed | In the vendor platform, under its terms | At the model provider or your cloud, under contract | On infrastructure you control | | Work that crosses many systems | Best within that app | Yes, through integrations | Yes, through integrations | | Who keeps it running | The vendor, plus your configuration | Your team or ours | Your team or ours, including the model hosting | Not sure? The free review maps each use case to the right option before anything is built. ## How does an AI program run with SynconAI? Three stages, each agreed in a written proposal as a fixed-scope project with milestones or a monthly plan. - Assess, Pick the work worth doing. - Use cases found and ranked - Data and access checked - Platform and model chosen - Business case written - Prove, One use case live with real users. - Built on your data - Tested against real cases - Approval steps and logs in place - Results measured against the baseline - Scale, More use cases on the same foundation. - Integrations and tools reused - Governance applied to each new use - Monitoring and tuning - Your team trained to run it ## Cost and timing The first step is a free 60-minute architecture review of your AI setup, with a written plan you keep. Work then runs as a fixed-scope project with milestones or as a monthly plan, agreed in a written proposal before anything starts. Plans: https://synconai.com/pricing ## FAQ ### What are AI solutions? AI applied to a specific business job: an assistant, an agent, an AI feature or an automation, connected to your data and governed. We plan, build and run them. ### Where should we start with AI? With one use case that has a clear owner, available data and a result you can measure. If you have no shortlist yet, start with AI strategy and roadmap. ### Which AI models do you work with? OpenAI, Anthropic Claude, Google Gemini and open-weight models such as Llama, Mistral and Gemma. We choose per use case on quality, cost, data terms and hosting. ### Are you an OpenAI or Salesforce partner? Both. SynconAI is an OpenAI Select Partner and a Salesforce Select Partner. We also build with Claude, Gemini, Copilot Studio and open-weight models. ### Do you build on Salesforce Agentforce? Yes. We run Agentforce Readiness, Roadmap, Agent Pilot and Launch Program engagements, and two of our Agentforce agents are live on a real Salesforce org. ### How do you keep AI safe? Every use case gets a risk tier, a named owner, human approval on steps that commit, tests before release and logs after. Our AI governance practice sets the rules. ### How is the work priced? As a fixed-scope project with milestones or a monthly plan, agreed in a written proposal before anything starts. The plans are on our pricing page. ### Can you work with our own IT team? Yes. We build alongside your developers and architects and hand over the tests, runbooks and documentation they need to run and change it. ## Where we work AI solutions for organizations across the United States and Australia, and worldwide. Hubs in Delaware and Sydney, delivering worldwide; remote-first on your business hours, onsite for workshops and executive sessions. ## Related - AI strategy and roadmap: https://synconai.com/ai-strategy-consulting - Generative AI for business: https://synconai.com/generative-ai-solutions - AI agents on any platform: https://synconai.com/ai-agent-development - Connecting AI to your systems: https://synconai.com/ai-systems-integration ## Cite When citing SynconAI AI solutions, link https://synconai.com/ai-solutions or https://synconai.com/ai-solutions.md.