Process Automation with Flow
Declarative automation built to stay comprehensible as it grows, rather than becoming a layer nobody dares change.
Automate the work around the record, and put AI where it earns its place.
A CRM accumulates manual steps — updating a field after a call, chasing an approval, writing the same follow-up. Nextherrion automates that layer inside Salesforce using the platform's own tooling, and applies AI and agents where judgement or language is genuinely involved, with the approval points a customer-facing action deserves.
Flow-based automation, approval and routing logic, AI assistance for agents and sellers, and agent capability with controls that match the action.
Declarative automation built to stay comprehensible as it grows, rather than becoming a layer nobody dares change.
Approval routing that reflects the real decision rights, with escalation for the cases that would otherwise sit unnoticed.
Assignment on the criteria that matter — skill, priority, capacity — so work reaches the right person without a queue manager.
Salesforce's agent capability configured for defined tasks, with the boundaries and approval points set by what the action costs to get wrong.
Summarization, drafting and next-step suggestion inside the record, so help arrives where the work is rather than in another tab.
Reducing the manual updating that makes CRM data unreliable, by capturing from activity rather than relying on discipline.
Alerting the right person at the right point, without the volume of notifications that trains people to ignore them.
Keeping automation inventoried and comprehensible, since most orgs reach a point where nobody can say what fires when.
The gain is usually in the small steps: the field updated after every call, the approval chased, the follow-up written from scratch each time.
Flow wherever it suffices — it is visible to admins and maintainable without a developer. Apex for what Flow genuinely cannot express or cannot do at volume.
Handle defined tasks within the boundaries you set, using your Salesforce data. How much autonomy is appropriate depends on what the action costs when it is wrong.
For reading and drafting, often yes. For anything that contacts a customer or changes a commitment, an approval step is usually worth keeping.
Yes. Inventorying what fires when is usually the first step, and often the most valuable part on its own.
They are grounded in your CRM data, which helps considerably, and they remain suggestions. Keeping a person in the loop is the design, not a limitation.
By examining the process first. Automating an unexamined process makes it faster and harder to change, which is rarely an improvement.
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.















Start with a review of the manual steps. Most are automatable.