New lead asks about Saturday availability
Revenue & Inbox Playbook
Proposed actionReply with approved weekend options
Operations OS · Human approval built in
Silpho connects your tools, knowledge, and approval rules so work arrives prepared and important decisions stay human.
Start with one workflow. Expand what proves useful.
Today
Revenue & Inbox Playbook
Proposed actionReply with approved weekend options
Content & Reputation Playbook
Proposed actionEscalate before any public response
Operations & Exception Playbook
Proposed actionCompare quote, invoice, and shipment record
Content & Reputation Playbook
Proposed actionSend the validated draft to editorial review
Built by a founder who has shipped 25+ production applications.
Not another chatbot
The system wakes up when an email arrives, a document changes, a review is posted, a follow-up becomes due, or a scheduled check runs. It gathers the relevant context, follows the approved playbook, and surfaces only the decisions that require a person.
Chat is useful for ad-hoc thinking. Recurring operational work needs state, controls, and a path to completion.
Your operating system
Silpho adds the smallest reliable layer around the workflow. Existing systems remain the source of truth. Playbooks coordinate the work, agents provide judgment where interpretation is needed, and normal software controls permissions, limits, approvals, and consequential actions.
Usually no platform migration. No agent choosing its own permissions. No consequential action hidden inside a chat transcript.
Operating playbooks
This is not a collection of disconnected bots. The first implementation is one scoped playbook with a clear input, a process owner, explicit rules, known failure paths, and a measurable business result.
Turns incoming calls, forms, and email into qualified, reviewable next steps while preserving the full conversation context.
A new enquiry matches the standard service area. The system prepared a reply, attached the correct service information, and scheduled a follow-up if the lead does not respond.
Monitors recurring operational work and pulls exceptions out of inboxes, documents, spreadsheets, and internal systems.
A delivery date in the customer email conflicts with the date in the internal system. The playbook collected both records and routed the discrepancy for a decision.
Turns approved business material into useful content and manages reputation workflows without losing brand or source context.
A completed project and positive review were turned into a case-study draft, a social post, and an article-explainer brief, all waiting for review.
Example use cases
Examples, not guaranteed off-the-shelf products. Scope depends on the workflow, data, permissions, and available system access.
The deployment method
We document how the work actually happens, including exceptions, workarounds, unspoken rules, handoffs, and the cases that never appear in the official SOP.
We decide what belongs in deterministic software, where agent judgment is useful, and where a human must remain in control.
We connect the required tools and implement one narrow end-to-end workflow rather than automating disconnected steps.
The system runs beside the team without taking consequential action. Its decisions are compared against real human handling.
Representative examples, failure paths, cost, latency, escalation quality, and policy compliance are measured before autonomy expands.
The system receives only the autonomy supported by evidence. Human corrections become reviewed evaluation cases, policy updates, or workflow improvements, not silent self-modification.
The goal is not maximum autonomy. The goal is reliable operational leverage.
Business value
Respond while intent is high, follow up consistently, increase sales capacity, and remove avoidable delays from customer-facing work.
Reduce repetitive administration, rekeying, document handling, recurring reporting, and coordination work between people and systems.
Catch missing information, inconsistent records, policy violations, deadlines, unsupported claims, and unusual cases before they become larger problems.
If the workflow cannot be measured yet, the first deliverable defines what to measure before implementation begins.
Start small
Bring one repeated workflow, the people involved, the tools it touches, and the result you want to improve. You receive a direct answer on whether it belongs in a tailored operating system.
$0A structured assessment that maps the current workflow, identifies the smallest valuable system, and documents how it should operate.
From $750The sprint fee is credited if Silpho implements the first workflow system.
Start the operations sprintSilpho implements one tightly scoped operational workflow, connects the required systems, adds controls and approvals, tests failure paths, and hands over a working production system.
Scoped after the auditFinal scope depends on workflow complexity, integrations, access, data quality, and required controls. Third-party software and usage fees are separate.
Discuss the first workflowAfter the first workflow
After the first workflow is live, Silpho monitors performance, reviews evaluations, fixes failures, improves playbooks, controls model cost, and expands the operating system into the next useful workflow.
Scoped after the first deploymentKeep the systems your team knows
Silpho starts with the software, data, permissions, knowledge, and operating rules already in place. New software is introduced only when the current stack cannot support the required workflow or controls.
Integration scope depends on available APIs, account permissions, and the workflow being deployed. Categories do not imply vendor partnerships.
Operations insights
Practical notes on mapping recurring work, placing agents inside explicit controls, measuring the operation, and expanding autonomy only when the evidence supports it.
Frequently asked questions
The first useful system is usually narrower, more controlled, and easier to measure than the first idea on the whiteboard.
One workflow first
Bring one repeated process, the tools involved, and the part that keeps going wrong. You will get a direct answer on whether it belongs in a tailored operating system and what the smallest useful implementation should be.
No platform migration pitch. No invented ROI. No obligation to build after the fit call.