AI agents built so you can trust them
Your agents remember your business rules, check with you before they act, do the actual work, and keep a record of everything.
Authority keeps a human in the loop. The other pillars make the agents powerful.
- 01Memory
- 02Authority
- 03Execution
- 04Trace
Memory, Authority, Execution, Trace.
Four differences between a chatbot and a system you can trust with real work.
- 01Memory
Agents remember everything about your business
Your agents know your SOPs, your customers, and your preferences - so you never have to explain things twice.
- Best practices, processes, procedures, and preferences are always there - agents don't start from scratch
- Customer info, past decisions, and what worked before - all kept in one place
- Every conversation builds on the last, so you're never repeating yourself
- 02Authority
Nothing happens without your say-so
Spending money, emailing clients, changing settings - anything important gets paused for your approval first.
- You decide what needs a thumbs-up - budget changes, client messages, access updates
- Set which agents can take actions and which need approval
- Combined with human security - two-factor login and read-only user roles
- 03Execution
They do the actual work
Your agents don't just give you suggestions - they get things done in the real tools you already use.
- Emails get sent, ad campaigns get updated, files get saved, meetings get booked
- Complex jobs get broken into steps and done in the right order
- Everything happens in your real systems - Email, Ad Platform, Drives, Calendars, CRM, etc.
- 04Trace
You can see everything that happened
Every step is recorded - who asked for it, who approved it, what changed, and when.
- A clear record of every request, approval, and action
- Easy to check what happened, spot issues, or prove what was done
- Nothing happens off the record
A platform you can control end to end
Real security and governance features for users and agents
Structured business memory your agents can query on demand.
The platform builds a dynamic graph from past conversations and connected data sources, so agents remember and reuse context beyond a single chat window.
Approvals can be configured at custom levels to keep you in control.
Force agents to stop and ask for approval before they act. Potentially high-impact actions wait for human decisions, with explicit approve and deny controls.
Security, sign-in methods, and sessions are visible to the team using it.
Two-factor auth, sign in with corporate Google or Microsoft, and session management can all be configured by admins.
Agent setup is customisable, with tools, skills, and collaboration rules all in one place.
The agent building process makes it clear what an agent can do, which model it uses, and what capabilities are available before it runs.
Humans still have profiles, settings, and accountable identities.
The platform logs agent activity against accountable user accounts, so collaboration history reads like a person used it, not an anonymous system edit.
Scheduled execution allows agents to run without human intervention.
Set recurring, interval, or one-time runs without human interaction, but maintain the approval process and visibility for all actions.
Under the hood
Single-tenant, model-agnostic, and audit-ready from day one. The details your technical team needs to see.
- 01
Single-tenant deployment
Each customer gets a dedicated, isolated instance - not shared multi-tenant SaaS. Deployed on your cloud infrastructure or our managed environment. No cross-tenant data leakage by design.
- 02
Model-agnostic control plane
The platform orchestrates agents across OpenAI, Anthropic, Google, or self-hosted models. Swap providers without re-architecting workflows. You decide the model strategy; the platform provides the execution layer.
- 03
Role-based access control
Three user roles (Admin, Editor, and Read-Only) with more granular tool permissions at the agent level. Control which agents each person can use, and which actions need approval before they run. 2FA and user-group management built in.
- 04
Custom Skills framework
No-code agent builder for domain-specific workflows. Define instructions, scope available tools and data sources, and publish reusable Skills across your team - without writing a line of code.
- 05
Structured knowledge graph
Persistent entity-relationship storage built from conversations, files, and connected systems. Agents query the graph at execution time for context - no prompt stuffing, no context rot.
- 06
Complete action log
Every request, plan, approval, tool invocation, and outcome is logged with timestamps and actor attribution. Full visibility into what happened, who triggered it, and why.
- 07
Scheduled execution
Trigger agent workflows on a time-based schedule or at set intervals. Reports, health checks, and routine operations run unattended - with the same approval gates and logging.
- 08
Tool orchestration layer
Native connectors to Gmail, Google Ads, Drive, Calendar, Airtable, and more. Agents sequence multi-step jobs across tools, handling the coordination so your team doesn't have to.
- 09
Natural-language interface
No dashboards to learn, no config screens to navigate. Users interact with agents through plain conversation. Lower the barrier to adoption across technical and non-technical team members alike.
Questions technical buyers ask
Deployment shape, model choice, access controls, custom workflows, and how the platform remembers your business.
Is The Praxis Agents Platform shared multi-tenant SaaS?
No. Every customer gets a dedicated, isolated single-tenant instance of The Praxis Agents Platform. There is no cross-tenant data sharing. The platform can be deployed on your own cloud infrastructure or in our managed environment.Which AI models does The Praxis Agents Platform support?
The Praxis Agents Platform is model-agnostic. It orchestrates agents across OpenAI, Anthropic, Google, or self-hosted models. You can swap providers without re-architecting your workflows.What access controls does The Praxis Agents Platform offer?
The platform includes role-based access control with three user roles (Admin, Editor, and Read-Only), granular tool permissions at the agent level, two-factor authentication, and user-group management.Can I build custom agent workflows without coding?
Yes. The Custom Skills framework is a no-code agent builder for domain-specific workflows. You define instructions, scope available tools and data sources, and publish reusable Skills across your team - without writing a line of code.How does The Praxis Agents Platform store business knowledge?
The platform uses a structured knowledge graph - persistent entity-relationship storage built from conversations, files, and connected systems. Agents query the graph at execution time for context, avoiding prompt stuffing and context rot.
Run agents you can actually trust.
See the platform's memory, approval rules, and audit log on a real task. In 10 minutes, we'll show you what your agents would know, what they'd hold for review, and what they'd record.Single-tenant deploymentModel-agnosticBespoke onboarding