In one sentence
A custom agentic workflow is a small system of specialist AI agents that takes a piece of repetitive work from brief to finished output, checks its own quality, and hands a person only the decisions that need one.
Operations · Agentic workflows
Agents that do the work — inside your stack.
Not a chatbot in the corner of the screen. A real org chart of specialist agents that take a brief, produce the output, run it past a critic, and route it to a human for the one decision that matters.
- One job per agent
- Human approval where it counts
- Every step logged and attributed
4agents
1human gate
7/7steps logged
- triggerNew inbound lead arrives
- researcherGathers context on the lead
- drafterDrafts the first reply
- criticChecks the draft before it moves on
- routerRoutes the record to its owner in the CRM
- approvalWaits for a person to approve
- loggedEvery step recorded and attributed
Illustration: example run, not a customer.
A team of agents, built around one real bottleneck
Who it is for
- Teams whose best people lose afternoons to repetitive, judgment-light work.
- Companies that want more capacity in pure-throughput functions without adding payroll or losing oversight.
- Teams that want the output in the Slack thread, Notion doc or CRM record where they already work.
What work never makes the roadmap?
Every company runs on a layer of repetitive, judgment-light work that no one wants to own. It quietly eats your best people’s afternoons.
Briefs into first drafts
Someone has to turn each brief into a first draft before the real thinking starts.
Formatting reports
Real information, reshaped by hand into the same layout again and again.
Triaging inbound leads
Every new enquiry has to be read, sorted and sent to the right person.
Reconciling data between tools
Two systems disagree, and a person is left to make them match.
Chasing approvals
The work is done and waiting; someone has to nudge the sign-off.
Too small to hire for. Too constant to ignore.
That is the layer a custom agentic workflow takes off your people’s plate.
How one workflow runs
How does an agentic workflow run?
Agents hand off the way a good team does. A person appears only at the decision points that actually need one.
- Work arrives. A brief, an inbound lead or a report that is due starts a run.
- The researcher gathers what the work needs, and the drafter produces the first output.
- The critic checks quality before anything moves forward. Nothing reaches a customer without passing it.
- The router sends the result where it belongs.
- A person approves at the decisions that matter. The gate is never optional where it matters.
- It lands in your stack: the Slack thread, the Notion doc, the HubSpot or CRM deal record.
- Everything is logged and attributed, so you can see what an agent did, why, and what it would have done next.
How is this different from a chatbot?
A chatbot in the corner
- One general assistant that answers when asked
- Output lands in yet another tool nobody opens
- Autonomy without accountability: no gate, no log
- Not built around any one of your bottlenecks
A workflow of specialist agents
- A researcher, a drafter, a critic and a router hand off like a good team
- Output shows up in the thread, the doc or the deal record
- An internal critic and a human gate before anything moves on
- Each step logged, each output attributed
- Built around one of your real bottlenecks
Leverage you can trust
A team that effectively grows headcount in the functions that are pure throughput, without adding payroll or losing oversight.
Specialist agents, one job each
A researcher, a drafter, a critic and a router, handing off the way a good team does.
An internal critic
Checks quality before anything moves forward, so nothing reaches a customer without passing it.
Human approval gates
A person signs off wherever the stakes warrant it. The gate is never optional where it matters.
Lives in your stack
Slack, Notion, HubSpot, most CRMs and data warehouses. If it has an API, we can usually wire an agent to it.
A full audit trail
Each step is logged and each output attributed: what an agent did, why, and what it would have done next.
Built on a real bottleneck
We start from one real bottleneck, not a demo, and map inputs, outputs and gates first.
24/7Throughput on repetitive work
In-stackSlack, Notion, HubSpot, CRM
GatedHuman approval where it counts
A sample deliverable
The workflow map you sign off before we build
We map the inputs (where the work arrives), the outputs (what “done” looks like) and the gates (who must sign off). That map is the blueprint for the pipeline.
Safe by construction. Every workflow is auditable end to end: each step is logged, each output is attributed, and the human gate is never optional where it matters.
- inputWhere the work arrives: the inbound enquiry form
- agentResearcher gathers context on the lead
- agentDrafter writes the first reply
- agentCritic checks it before it moves on
- agentRouter assigns the owner in the CRM
- gateA person approves any customer-facing reply
- outputWhat “done” looks like: reply sent, deal record updated
- logEach step logged and attributed
Illustration: example workflow, not a customer.
How do we start?
We map the work first, build the pipeline second, and keep the log open once it runs.
- 1
Pick the bottleneck
Map where the work arrives, what “done” looks like and who must sign off.
- 2
Build the pipeline
Specialist agents with an internal critic, and a human approval gate wherever the stakes warrant it.
- 3
Plug it in
Agents connect to Slack, Notion, HubSpot or your CRM, so output appears where your team already works.
- 4
Run it with the log open
Every step is logged and attributed. We build the system, or run it with you.
Engagement models (project build, managed growth, diagnostic or advisory, product implementation) and how scope and price are set are on the services page.
Straight answers about agentic workflows
Is this just a wrapper around ChatGPT?
No. It is a designed system of specialist agents with critics, approval gates, and integrations into your actual tools — built around one of your real bottlenecks.
What can it plug into?
Slack, Notion, HubSpot, most CRMs, and data warehouses. If it has an API, we can usually wire an agent to it.
How do we keep control?
Every step is logged and attributed, and a human approval gate sits at the decisions that matter. Nothing reaches a customer without passing the critic first.
What kind of work is a good fit?
Repetitive, judgment-light work that no one wants to own: turning briefs into first drafts, formatting reports, triaging inbound leads, reconciling data between tools, and chasing approvals.
Does a person stay in the loop?
Yes. A human approval gate sits at the decisions that matter, and agents surface a person only at the decision points that actually need one.
Where does the output show up?
In the tools your team already uses: the Slack thread, the Notion doc, or the HubSpot or CRM deal record, rather than in yet another tool nobody opens.
Bring your funnel. We’ll show you where this would act.
Thirty minutes, screen-share, no slides — the person who built the engine walks you through what it would do on your site.