Applied intelligence / Our capabilities
Intelligence, put to work.
Start with the work. Build what it needs.
Company brains, chatbots, voice agents, CRM, websites, applications and automation. One focused improvement or the connected system behind your business.
AI and automation implementation for mid-market and enterprise teams worldwide.
Find your starting point.
AI strategy
A clear answer to where AI belongs.
Company brain
Your business knowledge. Finally connected.
Automation & integrations
Less moving information. More moving work.
AI chatbots
A useful conversation. With somewhere to go.
AI voice callers
Answer the call. Keep the context.
CRM implementation
A CRM that follows through.
Custom websites
An exceptional website. Connected to the business.
Custom applications
Software that fits the way you work.
Not just possible.
Put into practice.
A useful result, the work behind it, and the people who keep it working.
Strategy that earns its place in the business.
Working systems your people can use.
Ownership, support and a considered next step.
- 01
Choose one decision or handoff worth improving.
A problem statement, current-workflow baseline, representative examples and named business owner. Agree what would count as useful before building.
- 02
Know what can connect, and who can see it.
A source inventory, API and sync constraints, record identity mappings, document permissions and data-owner approvals. Identify gaps before requesting access.
- 03
One workflow. An explicit boundary.
A working slice using agreed sample or approved business data, with source references and a review queue. No blanket access and no unattended production rollout.
- 04
Test the awkward cases, too.
A jointly reviewed test record covering answer accuracy, permission denial, stale data, conflicting sources, API failure and approval enforcement. Record failures, not just the demo that worked.
- 05
Go, revise or stop. All valid outcomes.
A handover pack with runbook, accountable owners, monitoring and rollback requirements. Decide whether to expand against acceptance evidence, not enthusiasm.
Good questions.
Clear answers.
Where would our data and models run?
Deployment is scoped around your existing stack, data location requirements and procurement constraints. Agree the warehouse, retrieval store, model provider, hosting and subprocessors before implementation; this page does not promise a particular deployment or certification.
How would permissions work?
Map user and service identities to source permissions, including document-level restrictions. Test access at retrieval and action time, revocation and audit visibility. A shared warehouse is not permission for every employee to see every record.
Who owns security and privacy decisions?
Your data, security and legal owners approve permitted uses, retention, residency and access. Paloren scopes technical controls and implementation responsibilities with them. Compliance obligations and any required assurance need project-specific review.
What happens when a connection breaks?
Define freshness thresholds, monitored API and sync failures, retries, exception owners and alerts as part of the build. Stale or incomplete evidence should be labelled or withheld; a workflow should pause when required approvals or inputs are unavailable.
Enough about
what could work.
What should work for you?
Meet Paloren. She has a few questions.
And, apparently, somewhere else to be.