Systems that work together. AI that answers to you.
Pure Source manages your IT foundation, connects the workflows your team depends on, and gives you governed AI access under your policies.
IT, AI, and the work between them
We manage the systems your team relies on, then connect the work that still falls between them.
Managed IT with clear ownership, dependable support, and security work that stays current.
- • Environment administration + identity hygiene
- • Endpoint management + recovery discipline
- • Agent-monitored alerting + proactive escalation
- • AI-built application review + governance
Managed Claude and ChatGPT access, company guidance, and reporting on the approved tools your team uses.
- • Approved Claude + ChatGPT access for your team
- • Data-handling policies: warn, redact, or block
- • Shared instructions + approved knowledge
- • Adoption + policy reporting for approved tools
We connect systems, automate repeated steps, and build tools when the software you have doesn't fit the job.
- • Onboarding, approvals + routing automation
- • Document classification + intelligent processing
- • Operational dashboards + internal portals
- • AI agents that execute tasks + surface knowledge
When technology keeps landing on someone else's desk
You don't need to become the IT manager to get the work under control.
Needs reliable systems and room to grow without chasing vendors.
Responsible for execution, risk, and process - needs technology to support outcomes.
Needs a reliable partner to translate business goals into systems the team can run.
Where we can help
Stabilize
We take ownership of the IT work that keeps interrupting your team.
- Environment audit + risk assessment - including AI-built tools and shadow applications
- Administration baseline + identity hygiene
- Endpoint management + recovery discipline
- Support model + escalation paths
- Agent-monitored alerting + proactive escalation
Govern
We set up approved AI access, bring in useful company knowledge, and review how the managed tools are being used.
- Approved Claude + ChatGPT access under your policies
- Data-handling rules: warn, redact, or block
- Shared instructions + approved knowledge
- Scoped, approved connectors instead of copy-paste workarounds
- Usage + policy reporting for approved tools
Systemize
We automate the repeated handoffs that slow work or leave things stuck between teams.
- Employee onboarding + offboarding automation
- Approval routing + exception handling
- Document classification + intelligent processing
- Automated compliance checks + audit trails
- Embedded AI agents for routing, task completion + decision support
Scale
When existing tools no longer fit, we build systems around the work your people actually do.
- Internal portals + client-facing applications
- Operational dashboards + real-time reporting
- System integrations + data consolidation
- Tool-connected AI agents that execute tasks + surface institutional knowledge
- Ongoing strategic advisory + iteration
Useful AI for your team. Oversight for your organization.
Give people governed access to Claude and ChatGPT, make approved knowledge easier to use, and see how those tools support the work. When a process is ready for automation, we can build and manage the agent behind it.
Claude and ChatGPT for everyday work, provided as approved access with data-handling rules.
Bring approved instructions and knowledge into the tasks where they help.
Review adoption and policy activity in approved tools, then improve what teams use next.
What changed for clients
Examples of work we've done in healthcare and financial services.
We took over Microsoft 365 administration and support, documented access and change controls, and put a clear escalation path in place.
A healthcare team automated onboarding, approvals, and document sorting. Staff now review exceptions instead of routing each item by hand.
We added access reviews, clearer change records, and a monitoring workflow that flags exceptions for review. Audit preparation took less time, and the subsequent review had no critical findings.
We connected reporting data, built a live dashboard, and added alerts for unusual activity. The team now spends less time assembling spreadsheets and more time using the information.
How we get started
Discovery
We begin with a conversation about your priorities and current challenges. If there's a fit, we scope a deeper assessment before recommending a plan.
Build + automate
We agree on the work in scope, improve the IT or workflows that need attention, and build where existing tools fall short.
Operate + evolve
We review how things are working, handle issues, and decide what to improve next.
Common questions
What do you mean by AI agents?
An agent is software configured to handle a specific task within a workflow. It can work with approved systems, prepare information, and complete agreed steps. We decide where it needs a person's review, what it can access, and what happens when something doesn't fit the rules.
Does our team have to switch to Claude, or can we keep ChatGPT?
Both Claude and ChatGPT are available as approved tools for staff. We set access and data-handling rules for the tools we manage. When we build an agent for a particular workflow, we choose the model that fits the job.
Our team already uses AI. Why do we need this?
Your team can use familiar AI tools with company guidance, data-handling rules, and usage reports for approved access. We can also help identify repeated work that would benefit from automation.
Is AI safe to use in a HIPAA environment?
AI can support work in healthcare, but it needs a careful review of the data it will handle, who can access it, and how its activity will be recorded. We work with your team on those decisions before connecting AI to patient or business systems. No tool by itself makes an organization HIPAA-compliant.
What does ongoing maintenance of an AI agent actually involve?
We review results and exceptions with your team, update instructions when the work changes, and check whether the agent still has the right access. Maintenance also covers the systems it connects to and the people who review its work.
Do we have to take on every service at once?
No. Start with what needs attention, whether that's day-to-day IT, approved AI access, a workflow, or a system that needs building. We can connect the pieces later if it makes sense.
Can you take over from my existing IT vendor or setup?
Yes. We review what you have, agree on a transition plan, and take over in stages so staff know where to get help.
Do you build new software, or only manage existing systems?
Both. We manage IT and also build internal tools, client portals, workflow systems, and first software releases. The same team can stay involved after launch or hand the system over with documentation.
Our team has started building tools with AI. Should we be concerned?
It depends on the tool and the information it handles. If an internal app touches patient, financial, or client data, we check access, logging, input validation, storage, and backup arrangements before relying on it. We can harden what's already there or help rebuild the parts that aren't sound.
Let's talk about what you're trying to change.
A discovery call is where we learn about your goals and where work gets stuck, explore whether we're a fit, and agree on whether a deeper review or service conversation makes sense next.
- No prep required
- A conversation about your goals and constraints
- Optional deeper review if it makes sense