The same questions keep coming back.
Your team needs a decision, a document or a bit of history. The answer lives with whoever happens to remember.
Practical AI, built around your business
Your business knows a lot.
Let’s put it to work.
Important knowledge sits in people’s heads. Work moves between inboxes and spreadsheets. We connect what your business knows to the work your team needs to get done.
30 minutes with Spencer · Start with one real problemYour company brainKnowledge → Context → Action
Choose a source or a team. See how the connections become useful.
Built around your existing toolsKnowledge with a sourcePeople in control
Busy people.
Disconnected work.
You don’t need to see the whole system to feel where it breaks.
Someone is always joining the dots.
Information arrives in one place, gets copied into another, and waits for a person to chase the next step.
You have the tools. The handoffs still slip.
Another subscription adds another screen. What is missing is a clear route from information to action.
One connected approach.
From understanding to adoption.
Start with the operation. Capture the context. Build something useful. Help people use it.
01Assess
Find the work worth fixing.
Map the workflow, its owners and the points where information or time gets lost. Agree a useful starting point.
A prioritised workflow map
02Document
Give the business a shared memory.
Bring approved knowledge, operating rules and source links together so answers and actions have context.
A usable company playbook
03Implement
Connect knowledge to useful work.
Build the agreed workflow into your existing tools, with review points, exception handling and acceptance checks.
A tested, connected workflow
04Adopt
Make it part of the working day.
Walk through the workflow with your team, establish ownership and agree what ongoing support should cover.
A clear handover and support plan
A clear scope before the build begins.Explore the engagement
From information to action
Useful AI has a job to do.
Explore three ways a workflow can bring your tools, company knowledge and people together. Each example is illustrative.
A good enquiry deserves a good handoff.
Bring the conversation, customer context and next action together. Your team reviews the response before anything goes out.
Start with a real kind of question
“Can you send the proposal we discussed?”
Explore the sources
Sentient workflow
Follow-up ready for review
Owner assigned · Sources attached · Nothing sent automatically
Human approvalChoose a source, or play the example to follow the handoff.
0 / 3Source 1 · New enquiry
Example enquiry: a customer asks for the proposal discussed on yesterday’s call.
What a reviewed handoff could say
Alex, prepare the proposal using the agreed scope. Confirm the delivery date before sending it to the customer.
A person checks the scope and date, then decides what to send.Illustrative example using fictional records. Nothing is sent or changed.
What the work leaves behindA clearer operation.
A clearer operation.
Something you can use.
The scope is built around your business. These are the foundations we discuss before implementation starts.
Find your starting point ↗A map of the work
Owners, handoffs and a ranked starting point, grounded in your actual process.
Knowledge people can find
Source-linked context with clear ownership and a way to keep it current.
A workflow with an owner
Defined acceptance checks, human review and an agreed route for support.
The tools you use.
Working together.
We review your existing stack before recommending a change. Integration access and suitability are confirmed in discovery.
Google WorkspaceMicrosoft 365Your CRMXeroProject toolsCompany documents
Discuss your systems ↗Explore the Xero Finance Operator for multi-company Xero review and an accountant-ready handoff. Scope and accounting policies are agreed before implementation.
Spencer TarringFounder, Sentient Labs
An operator’s perspectiveBuilt by someone
Built by someone
who runs businesses.
“Bring one real problem. I’ll tell you straight if AI solves it.”
I’m Spencer. I build and operate businesses, and use AI in the work that comes with them: finding context, making decisions and keeping projects moving.
Sentient brings that practical perspective to your operation. We start with what your team needs to get done, and work out where a useful system can help.
Talk through your operation ↗A good fit starts
with a real workflow.
You have an operating business, a repeated problem and someone who can own the change. You can give us access to the people and information needed to understand it.
Bring this to the conversation
- One task that repeatedly gets stuck
- The tools and people involved
- What a better outcome would look like
We’ll discuss the next step and what needs scoping. You won’t need a technical brief.
Start with one real problemWhat keeps landing
What keeps landing
back on your desk?
Tell us where work gets stuck. We’ll discuss what is worth changing and whether Sentient is the right team to help.
Plan your discovery call 30 minutes with Spencer · No obligationWhere do we start?
With a 30-minute discovery call about one real business problem. If there is a good fit, we agree a scoped assessment or implementation proposal. The call is not a full process audit.
Do we need to replace our software?
We start with the tools and records you already use. Access, available integrations and data quality determine what can be connected. Any change to your systems is agreed in scope.
What will we receive?
Depending on the engagement: a workflow map, a source-linked operating playbook, an implemented workflow, acceptance checks and a handover. The written proposal defines the exact deliverables.
How much does it cost, and how long does it take?
That depends on the workflow, integrations and delivery capacity. We scope the work before quoting a fee or timeline. Discovery does not commit you to a project.
How is this different from adding another AI chat tool?
The work begins with your operating context: what is authoritative, who owns the next action and what needs review. A useful implementation connects those rules to a specific workflow.
Who controls our data and decisions?
We agree access and ownership before connecting systems. Source records remain authoritative, permissions are scoped and actions that need human review keep an approval step. Visit Security & control for the approach.
What happens after implementation?
We agree handover, training and any ongoing support as part of the scope. Monitoring, response times and future improvements are specified separately, rather than assumed.
Can you guarantee savings?
No. We define a baseline and assess the outcome against it. Hours released are capacity; they only become cash savings when the business actually reduces a cost.