Opportunity audit
Map repetitive workflows, data sources, system access, manual decisions, and commercial impact to find the highest-leverage first agent.
AI agent consultingstrategy into shipped systems
AI agent consulting that turns workflows into working systems
Tessera helps teams decide what AI agents should do, what they should never do, and which workflows are worth automating first.
The work is practical: audit the business process, rank opportunities by commercial value and risk, build the first useful operator, and leave you with a system your team understands.
Search intent
Built for buyers comparing agentic operators, not casual AI curiosity.
You may know AI agents could help, but the hard part is choosing the right first use case. Bad consulting produces a deck. Useful consulting produces a scoped workflow, operating model, and implementation path.
Tessera provides an agent opportunity audit, implementation roadmap, security model, and hands-on build support for the first workflow so the strategy does not die in Notion.
Use cases
Agent roadmap
Prioritise use cases by value, risk, implementation effort, data quality, and likelihood of adoption by the actual team.
Workflow design
Define triggers, tools, memory, approvals, exception handling, reporting, and what the human still owns.
Vendor and stack advice
Choose where to use off-the-shelf tools, where to wire custom automation, and where not to use agents at all.
Pilot build
Implement one narrow operator to prove the model before expanding spend, complexity, or internal expectations.
Team enablement
Document the operating rhythm so staff can supervise, improve, and safely rely on the system.
Proof
Commerce execution
Crate Clothing moved from a slow storefront to a faster Hydrogen architecture, creating practical proof for ecommerce systems work.
Operator workflows
Tessera uses agentic systems internally for research, reporting, task routing, implementation handoffs, and delivery monitoring.
Measurable improvements
Recent work reduced LCP from 31.9s to 2.2s and lifted Lighthouse performance from 23 to 93.
Process
01
Map
Identify the workflow, decision points, systems touched, permissions required, and failure modes before any agent is built.
02
Prototype
Ship the thinnest useful operator: scoped tools, visible logs, human approval gates, and a narrow success metric.
03
Operate
Run it against real work, tune the prompts and boundaries, then document the operating rhythm your team can trust.
04
Compound
Expand from one proven workflow into a small fleet of agents that share context without creating a black box.
FAQ
Is this just an advisory engagement?
No. Advice is useful only if it changes operations. Tessera pairs roadmap work with implementation so the first workflow actually ships.
How do you choose the first agent?
The best first agent has clear inputs, frequent repetition, measurable value, manageable risk, and an obvious human fallback.
Do we need clean data first?
You need enough structure to make decisions safely, not a perfect data warehouse. The audit identifies what must be cleaned before automation.
Who is this for?
Founder-led teams, agencies, ecommerce operators, and service businesses that need leverage but cannot afford vague AI transformation theatre.
If the workflow matters, make it operational.
Bring one messy workflow. Tessera will map the risk, define the operator boundary, and show the smallest useful system worth deploying.