10x Salesforce delivery with knowvation
The knowvation platform brings fully agentic delivery to Salesforce. AI agents plug into the systems you already use, working tickets from requirements to deployment.
Now onboarding a limited number of early-access teams.
- Human approval gates
- Everything logged and auditable
- Single-tenant, runs in your cloud
Should "manager" mean the opportunity owner's manager, or the sales director?
Powering the agentic Salesforce delivery lifecycle
The best Salesforce teams run delivery as a repeatable loop: analyze, design, build, test, deploy, and learn from each cycle. The best agentic delivery teams are no different.
With knowvation, a team of AI agents (Business Analyst, Architect, Developer and QA Engineer) works alongside your people. Humans stay in the loop and approve at the decision gates that matter.
Work comes in
- Clarify the ask
- Acceptance criteria
- Solution design
- Prototype in sandbox
- No-code, low-code, code
- Build in sandbox
- Unit tests
- Test in sandbox
- Metadata
- Pull request
- Observe agent missteps
- Create/modify skills as needed
Work is delivered
Agentic delivery team
in plain view
Trusted agentic delivery means transparency and auditability from the ground up. It means humans in the loop. Nothing happens out of sight.
All agent activity and context is logged, including searches, API calls, conversations (with people and other agents) and decisions. Humans stay in control, reviewing decisions, agentic logic, and deployments.
See what every agent is doing, as it happens
You don't have to babysit, but it can build trust by riding along and observing. Each ticket has a live activity feed of the agents' thinking and their conversations with each other.
- Live thinking. Observe an agent's reasoning and actions while it works.
- Agents talk it through. BA, Architect, Dev, QA work as a team, collaborating back and forth to design, build, and test an optimal solution.
- Step in any time. @mentions provide near real-time context to the agentic team. The working agent will read it on its next turn.
Is the 20% before or after the partner discount already on the quote?
After. The ticket's second comment says so, and the example quote confirms it.
An approval step on Opportunity keeps this declarative. A validation rule alone can't route to the manager
A work summary packet from every agent, for every ticket
Every agent documents its work, including context, decisions, considerations, what was recommended or built, open questions, and more.
- Documentation isn't an afterthought. Accurate documentation, at speed, at scale.
- Configurable documentation. You choose what matters to your team and your process. Documentation packets are configurable by agent persona, including document layout, headings, required sections, and more.
- Nothing to chase. Work summary packets are available in knowvation, and attached to each ticket in your ticketing system.
Discount approval over 20%
- Problem. Discounts above 20% close without a manager seeing them.
- Recommendation. An approval step on Opportunity, sent to the owner's manager.
- Alternatives. A validation rule that blocks the save; a manual review report.
- Why this one. Keeps deals moving, with a record of who approved what.
- Benefit. Lower risk, no code to maintain.
Agents that get better at Salesforce
Skills are written rules for doing one job well. Agents look them up as needed.
- Bring your own. Add any GitHub repository of skills.
- Learning built in. Your single-tenant instance of knowvation monitors your agent activity. Frequent agent missteps will be addressed with dynamically created skills, unique to you and how your company uses Salesforce.
- Smarter agents. Over time, as unique skills are added to your knowvation instance, your agents become better aligned with how you work and use Salesforce.
platform-validation-rule-generateSalesforce · how to write a validation rule Salesforce acceptskv-deploy-limitsknowvation · limits that have refused real deployskv-flow-deleteknowvation · deleting a Flow and every version of itplatform-validation-rule-generate. Read it before deploying.Know what every ticket costs
No surprise bills. Set limits on per-ticket spend. The knowvation platform enforces your spend controls, and gives you granular token and spend estimates (including human effort estimates) for each ticket, for each agent. You'll know exactly what you are spending to deliver work.
- Cost per ticket and per agent.
- Human effort estimation.
- Tokens and dollars.
Your standards, your way of working
The knowvation platform works out of the box, tailored to Salesforce development. But it was also built from the ground up with flexibility in mind. No two teams are exactly the same, customization is supported by design.
- Delivery mode. The knowvation platform can run in multiple modes to match where your team is comfortable with agentic delivery, from fully agentic delivery to humans reviewing and approving solutions before the agents implement them.
- Agent personas. Each agent has a persona you can edit: instructions, model selection, and what it's allowed to do.
- Shared context. Shared context can be created and assigned across agent personas to define and enforce your team's unique standards and ways of working.
Agentic delivery platform
on your cloud
The knowvation platform is delivered as a single-tenant application and runs natively on your cloud (Azure, AWS, Google Cloud). You control everything. Your resources, your secret store, your data, your model provider, and your version control.
Model provider
Infrastructure
Ticketing system
Version control
Security and controls for enterprise teams
Your infrastructure
- Single-tenant, in your own cloud subscription
- Installed from your private marketplace plan
- Optional private network, fixed IP for your allowlists
Identity and access
- Single sign-on with your company accounts
- Admin and Member roles
- You control vendor support access
Ready for 10x Salesforce delivery?
Put a team of agents to work today. Free your people for the work that matters.
Now onboarding a limited number of early-access teams.