01
Workflow agents
Turn a repeatable process into an agent that understands the task, gathers context, and prepares the next action.
custom AI agent developmentAI agents built for
AI agents built for
the way your
business works.
Give repetitive work a new way forward. Spectriv builds custom agents that connect your business knowledge, use the right tools, and keep your people involved where it matters.
A clear business task Connected tools Human oversight
spectriv · agent workflowEXAMPLE
THE REQUEST
Prepare a response to an order question
- Understand the task01
Identify the context and the intended outcome.
- Find the right information02
Order details + support policy
- Prepare the next action03
Draft a reply with the relevant order update
- Keep your team in control04
A person reviews the proposed action.
Waiting for human review
Illustrative preview. No external systems are connected.
Purpose-built
FOR YOUR ACTUAL WORKFLOWModel-flexible
CHOOSE THE RIGHT APPROACHConnected
WORK WITH YOUR EXISTING TOOLSSupervised
KEEP PEOPLE IN THE LOOPstart with the right problemWhere work gets stuck.
Where work gets stuck.
That’s where we start.
Copying between systems. Searching through documents. Chasing the same updates. We help you identify a workflow where AI can be useful, and build the smallest meaningful version first.
FOUR QUESTIONS WORTH ASKING
What does the team do repeatedly?
Which tools and information does it need?
Where should a person make the decision?
What would a useful result look like?
Discuss your first use casewhat we buildThe pieces behind
The pieces behind
a useful AI agent.
From finding the right information to taking the next step, each capability has a place in the workflow.
02
Knowledge & retrieval
Help people find useful answers in company documents and data, with source references they can check.
03
Tools & integrations
Connect agents to the APIs and business software they need, with clearly scoped access.
04
Multi-agent systems
Coordinate specialist agents when a task needs research, analysis, execution, and review.
05
Human review
Keep important decisions with your team. Define approvals, escalation paths, and limits on actions.
06
Evaluation & visibility
Make it possible to inspect what happened, test representative cases, and improve the workflow over time.
how we workFrom a clear task
From a clear task
to a working system.
Engineering and business context, brought together in a practical delivery process.
- 01
Understand the work
Map the inputs, tools, people, and decisions involved. Choose a useful, focused first release.
- 02
Build the agent
Bring together the model, business context, tool access, and human review points.
- 03
Connect & evaluate
Integrate with the right systems and check behavior against real and unusual scenarios.
- 04
Launch & refine
Introduce the workflow to your team, document the system, and improve it from actual usage.
connected to your businessBuild on the tools
Build on the tools
you already use.
Your agent needs context and a way to act. We assess the data sources, software, permissions, and APIs available, then connect the pieces your workflow needs.
- Relevant company knowledge and data
- Scoped access to business tools
- Clear boundaries around actions
ILLUSTRATIVE ARCHITECTURE
Your knowledgeDocuments & policies
Your dataRecords & context
Your custom agentContext · Tools · Defined actions
Your toolsCRM, helpdesk & APIs
Your peopleReview & approval
built with boundariesThe right checks.
The right checks.
At the right moment.
Not every action should happen automatically. We design the review points, exceptions, and visibility needed to make an agent a useful part of your team.
- Evaluate realistic and unusual scenarios
- Route uncertain cases to a person
- Inspect actions and refine the system
EXAMPLE REVIEW CHECKLISTCHECKCHECKCHECKREVIEW
Business context
Relevant sources are available
Action boundaries
Permissions match the task
Quality review
Responses are evaluated
Human handoff
Your team reviews the next step
Controls are defined for your workflow.
selected work · Kaizen TeamsAI, inside the
AI, inside the
way a team works.
For Kaizen Teams, we enhanced a business operations platform with an AI assistant for navigating workflows, accessing live business information, and providing contextual guidance.
Explore the case studya closer lookYour questions.
Your questions.
A clearer starting point.
Not sure where your idea fits?
Talk it through with us
What can an AI agent do for our business?+
An agent can combine information gathering with a sequence of actions. Depending on your systems, that might mean researching a lead, preparing a customer response, extracting document data, or guiding a team member through a process. We start by defining a clear task and the decisions that should stay with a person.
How is an agent different from a chatbot?+
A chatbot primarily responds to a message. An agent can also use tools and follow multiple steps toward an outcome. Some workflows need a simple assistant; others benefit from an agent with access to specific systems. We help you choose the appropriate approach.
Can the agent work with our existing software?+
We assess the APIs, documents, databases, and access options available in your environment. Where integration is possible, the agent can use the systems your team already works with rather than creating another disconnected process.
Do we need multiple agents?+
Not necessarily. A single well-scoped agent is often a good starting point. We introduce additional agents when separating responsibilities makes the workflow easier to test, manage, or extend.
How do you handle sensitive actions and data?+
We define access, action limits, approval requirements, and the deployment approach during discovery. Requirements vary by system and use case, so we agree on the controls needed for your workflow rather than treating every task the same way.
What happens after the first release?+
We agree on documentation, ownership, maintenance, and ongoing support as part of the engagement. The next improvements can be guided by real usage, exceptions, and feedback from the people using the system.
What would you like
your first agent to do?
Tell us about the task, the tools, and the team.
We’ll help you explore a practical way forward.