Our Work

Real delivery across healthcare, energy, finance and public sector estates.

These case studies show where Tesrex has already delivered: secure access, collaboration, contact center, firewall, WAN visibility and Cisco lifecycle control. They show the operating conditions modern AI workflows have to handle: known systems, trusted teams and clear handover.

Real work, familiar estates, useful outcomes.See how Tesrex has helped teams keep services running, modernise collaboration, contact center service, firewall control, network visibility and Cisco estates.
Healthcare access and continuityHealthcare contact center and firewallEnergy WAN and Cisco lifecycleFinancial services collaborationPublic sector modernisation
Customers we’ve delivered for.
  • IC24 logoIC24
  • Ophir Energy logoOphir Energy
  • Bausch Health logoBausch Health
  • North Somerset Council logoNorth Somerset Council
  • Medco Energi logoMedco Energi
  • Alantra logoAlantra
Partners and platforms we build with.
  • Cisco logoCisco
  • Microsoft logoMicrosoft
  • OpenAI logoOpenAI
  • Anthropic logoAnthropic
  • GitHub logoGitHub
  • Qwen logoQwen
  • Webex logoWebex
  • LiveAction logoLiveAction
  • Palo Alto Networks logoPalo Alto Networks

Customer case studies.

Each story shows a specific operating problem Tesrex helped make easier to run: secure access, collaboration, contact center, firewall, WAN visibility or Cisco lifecycle control.

These are the estates AI workflows have to work inside: real users, real permissions, real platforms and real operational pressure.

What this work proves.

Long before today’s AI workflows, Tesrex delivered in environments where governance, evidence, adoption and operational continuity matter. That experience matters when AI workflows need trusted sources, clean permissions, reviewer confidence and teams who can operate the result.

Proven delivery conditions.

Secure boundaries

Access, VPN, Expressway, Cisco ISE, firewall policy and permission controls.

Estate evidence

WAN telemetry, QoS, licence, support, firewall and lifecycle data.

Adoption under pressure

Healthcare, contact center, meeting rooms, public sector and global handover.

Operable outcomes

An estate, policy, room, review process or contract position people can run.

Why it matters now.

AI workflows depend on the same foundations: clean sources, safe permissions, reviewer confidence, platform evidence and teams that trust the handover.

  • Trusted sources
  • Clean permissions
  • Reviewer confidence
  • Platform evidence
  • Team handover

Bring us the messy estate, platform or workflow.

We will map the estate, source material, reviewers and first practical move for improvement.

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