01Low commitment
Start with a 15-minute fit check
Bring the workflow, bottleneck, or AI idea you keep circling. We will quickly separate useful agent work from demo theatre and decide whether there is a real business case.
ai workflow systems · designed, shipped, operated
AI workflow systems that ship real work, not demos.
Tessera designs, builds, and operates AI agent systems for real business workflows: with scoped access, human review, monitoring, and an audit trail from day one.
Start with one messy repeatable workflow: reporting, research, QA, content operations, ecommerce ops, or the glue between tools. We turn it into a working operating system, then keep improving it if it earns the right to stay.
How it works
01
Map the workflow
We audit the repeatable work slowing your team down: research, reporting, QA, content operations, ecommerce ops, and the handoffs between tools.
02
Design the operator
We define the agent's job, access, approval points, escalation paths, and success metrics before anything gets connected to production systems.
03
Ship the system
We build the automations, prompts, integrations, dashboards, and review loops that let the workflow run reliably inside your existing stack.
04
Operate and improve
We monitor outputs, handle regressions, tighten permissions, and keep improving the agent system as the business workflow changes.
Featured case study
View all AI agent case studiesAutonomous Analysis → Delivery Backlog
AI Growth Reporting Agent
Tessera deployed an agentic automation that analyses ecommerce performance, writes the monthly growth report, drafts client comms, and creates delivery-ready recommendations in the task backlog.
Mode
Autonomous
Engine
AI Agent
Outputs
PDF + Tasks
Read the AI growth reporting case study
Start with the right level of commitment
You do not need to buy a retainer to find the first useful AI workflow.
Tessera works in steps: validate the opportunity, map the operating boundary, ship the system, then retain only what needs ongoing ownership.
02Scoped discovery
Map the first workflow
If there is a fit, Tessera maps the workflow, systems touched, permissions, human review points, success metrics, and the smallest safe system worth shipping.
03Implementation project
Ship a production operator
We build the agent, integrations, prompts, dashboards, audit trail, and escalation path so the workflow runs inside the tools your team already uses.
04Retained support
Operate and improve it
For workflows that become business-critical, Tessera monitors outputs, handles regressions, tightens permissions, and improves the system as the work changes.
Services
Start with the right level of commitment.
If you are unsure where agents fit, start with a workflow audit. If you already know the workflow, build a first agent pilot. If it is already useful, move it into an operator retainer so it keeps improving.
Not sure where AI agents can safely help?
Map the workflows worth automating first, rank them by value and risk, and leave with one clear production use case.
Deliverables
- workflow map
- opportunity scorecard
- risk model
- first-agent roadmap
Best fit: Founders, operators, and agency leads who want AI leverage but need a sane starting point.
Start with: AI Workflow Opportunity Audit
Know the workflow, but need it running?
Turn one recurring reporting, research, QA, content, or delivery workflow into a scoped agent with human review built in.
Deliverables
- working agent workflow
- tool integrations
- approval gates
- logs and handover notes
Best fit: Teams with a painful repeatable process and enough volume to justify a first production pilot.
Start with: First Agent Pilot
Useful agents keep needing babysitting?
Keep agent workflows monitored, improved, and expanded so the system compounds instead of becoming another abandoned automation.
Deliverables
- monitoring and escalation
- workflow improvements
- monthly reporting
- automation backlog
Best fit: Teams that already have useful workflows and want accountable AI operations without hiring internally.
Start with: AI Operator Retainer
Worried about unsafe access or invisible automation?
Set the permission boundaries, approval rules, logs, and rollout controls before agents touch sensitive systems.
Deliverables
- access scope review
- approval model
- audit-log requirements
- governance roadmap
Best fit: Leaders who want agent workflows, but need confidence around credentials, data, and human control.
Start with: Agent Security & Governance Review
Latest posts
View all AI agent operations insightsGovernance2026-07-28· 7 min
Your AI Agents Need a Control Plane Before They Need Another Model
Better models make agents more capable, but they do not define authority, verify live data, or route consequential decisions for review. That is the control plane.
Operations2026-07-19· 7 min
Stop Measuring AI by Seats. Start Measuring Useful Work per Dollar.
AI spend only creates value when a workflow produces accepted work. Measure successful outcomes, review load, retries, and total cost before funding the next rollout.
Operations2026-07-16· 6 min
ChatGPT Work Won't Replace Your Ops Team. It Will Expose It.
Work agents make automation easier to start. They also expose missing ownership, weak approval paths, fragmented source systems, and every process that only works because one person holds it together.
Stay in the loop
Product updates, AI agent operator notes, and case studies from the systems we're building: delivered occasionally.