90-day guarantee · fixed-fee · production AI
Talk to an ExpertWe run a structured 2-week discovery workshop — mapping your business processes, data sources, and value levers to identify the AI use cases with the highest ROI. You leave with a ranked use-case backlog, a data readiness assessment, and a fixed-fee proposal before a single agent is built.
AI agents are only as good as the data they run on. We design the data pipeline, integration connectors (MuleSoft, direct APIs), and Salesforce Data Cloud setup to ensure your agents have clean, real-time data access across every system of record they need to act on.
Core build sprint. We configure Agentforce agents, write and tune prompts in Einstein Prompt Builder, wire up custom LLM integrations (OpenAI, Claude, Gemini), and set model routing logic. Agents are built alongside your team — not handed off cold at the end.
Every agent goes through structured adversarial testing, bias review, and guardrail validation before users touch it. We test against real edge cases from your data — not synthetic inputs. Our trust framework maps directly to Salesforce’s Einstein Trust Layer standards.
We roll out to a controlled group first — measure performance against the agreed KPIs, collect feedback, and tune before full deployment. Parallel to rollout, we run live training sessions for your team so adoption is real from day one, not bolted on post-go-live.
Go-live is not the finish line — it’s the starting gun. We run a 30-day hypercare period post-launch, then transition to a continuous AI optimisation programme: monthly model performance reviews, prompt tuning, and new agent use cases added to your roadmap every quarter.




































































