LinkedIn content planning, publishing, and analytics platform
AvailableAudienceMx
Turn your expertise into strategy-backed LinkedIn posts, visuals, and scheduled content from one workflow.
For founder-led B2B teams that want operational leverage — not another roadmap, not another pilot.
These are the fixed-scope implementation paths. If the right starting point is not obvious yet, the Opportunity Sprint below decides it before the build begins.
Best for teams answering the same questions daily
An AI-assisted first pass on your inbox — grounded in your docs, escalating cleanly when a human is actually needed.
What gets built
grounded answers from your docs
What gets integrated
escalation rules for edge cases
What success looks like
response-time and deflection tracking
Best for teams losing leads to slow response
Inbound leads qualified and followed up automatically, so the pipeline keeps moving without manual chasing.
What gets built
automated qualify-and-follow sequences for inbound leads
What gets integrated
your forms, CRM or inbox, and clean rep hand-off
What success looks like
time-to-first-touch and qualified-meeting lift you can read weekly
Best for teams burning time hunting scattered internal knowledge
A retrieval layer over your SOPs, docs, and wikis so answers show up inside the workflow you are already in — cited, traceable, and without the Slack ping spiral.
What gets built
a cited answers surface over SOPs, docs, and wikis
What gets integrated
the tools you already work in — Slack, desk, browser, or internal app
What success looks like
less ping-pong, faster task completion, traceable sources per answer
Best for teams that need approved social content published without manual platform work
A managed publishing operations workflow for Instagram and social content — connected, approved, scheduled, logged, and monitored without asking for passwords.
What gets built
Meta account connection, approval workflow, scheduling queue, publishing logs, failure alerts, and reporting-ready records
What gets integrated
Facebook Page, Instagram Business or Creator account, Meta Graph API, content storage, and approval channel or email
What success looks like
approved Instagram content published on time with fewer manual steps and a clear audit trail
The Opportunity Sprint is the decision layer before implementation. We audit your repetitive work, score the best candidates, and turn one selected workflow into a practical launch plan.
The output is not a strategy deck. It is one agreed use case, one owner, one success metric, and the next implementation scope.
Timeline
5 days
Entry
from $500
Output
One launch-ready workflow
Best when
You have options, not clarity
The sprint turns broad AI interest into an implementation decision your team can actually act on. The strongest candidate becomes the next fixed-scope build; the rest become a sequenced backlog instead of noise.
A practical map of repeat work across support, sales, content, and operations — tied to the tools and owners already in place.
Each candidate workflow is ranked by friction removed, implementation effort, risk, data readiness, and measurement clarity.
One named workflow is selected as the best first win, with the reason it should come before the others.
A numbered implementation path covering inputs, integrations, approval points, hand-off, and success metrics.
Fast enough to keep momentum, structured enough to avoid picking the loudest problem instead of the best first win.
Day 01
Collect the workflows, tools, bottlenecks, current volume, and team constraints that shape the first useful automation.
Day 02
Turn scattered pain points into comparable workflow candidates with owners, inputs, outputs, and measurable drag.
Day 03
Rank opportunities by leverage, feasibility, platform risk, customer impact, and how quickly the team can adopt the change.
Day 04
Choose the first workflow and define what gets built, integrated, measured, deferred, and explicitly left out.
Day 05
Deliver the launch plan, owners, success criteria, and next-step implementation scope for the selected workflow.
One repetitive workflow: ship it, then measure it — no roadmap theater.
A support agent pulls from your SOPs and knowledge base, handles the repeats, and routes the rest to the right person with full context.
Reduce repetitive ticket-handling time.
Inbound is qualified automatically, follow-up runs on a short loop, and warm leads land with the right rep plus notes they can use on call one.
Reduce lead response delay.
Retrieval across SOPs, docs, and wikis so people get cited answers inside the tool they’re already in — instead of opening Slack.
Reduce time spent hunting for SOP answers.
The process is narrow on purpose. The first engagement produces a working asset, not a roadmap. Anything wider starts after we’ve shipped something real.
We map the workflow, tools, and bottlenecks and pick the one place AI will create obvious leverage first.
Delivers Workflow map + ROI estimate
We design the agent, the prompts, the integrations, and the guardrails around a single, named use case.
Delivers Prompts, logic, and integrations
We deploy into your environment, brief the team, and agree on the numbers that tell us it’s working.
Delivers Deployment + training + KPI tracking
We refine from live usage so the first launch becomes a reliable asset, not a demo that quietly dies.
Delivers Tuning from live usage
Most first engagements stay intentionally narrow: one workflow, one use case, one definition of success.
Teams drowning in repeat support, demo requests, and onboarding questions.
Firms that want tighter lead handling and fewer repetitive manual tasks.
Founder-led teams that need leverage without a custom software project.
Small B2B operators who want one practical AI win before committing further.
Mini case simulations — not client names. Picture your version of the same workflow.
Team
10-person B2B SaaS
Workflow volume
Same fifteen questions eat most of the shared inbox every week — not spikes, just steady drag.
Before
Repeat support questions consuming daily operator time; copy-paste answers and endless triage.
After
Grounded first-pass handling from your docs + cleaner escalation when a human really matters.
Team
Founder-led consultancy, ~12 people
Workflow volume
Demo requests and trial signups arrive across forms and inbox — volume is modest but timing is brutal.
Before
Response and follow-up depend on whoever is between meetings; good leads cool off by default.
After
Qualify-and-follow runs on a short loop; reps take over warm threads with context, not cold intros.
Team
Remote-heavy agency, Notion + Drive + legacy PDFs
Workflow volume
Every new client kickoff starts with ‘where’s the template?’ — same scavenger hunt, different week.
Before
Tribal knowledge and scattered SOPs; answers live in Slack scrollback nobody can search cleanly.
After
Cited answers in the tab you’re already in — fewer shoulder taps, repeatable delivery that stays documented.
Want us to map your version of this workflow?
A.I. PRIME is small by design — agents, integrations, and guardrails built to survive real inboxes, pipelines, and internal tools, not a conference demo.
Madhawa leads the studio hands-on — agents, integrations, and guardrails, not slideware. The work is built to survive real inboxes, pipelines, and internal tools, not a conference demo.
A.I. PRIME exists because smaller B2B teams are stuck between vague AI roadmaps and tools nobody adopts. You deserve a bounded engagement: one live workflow you can measure before you fund the next thing.
One workflow. One owner. One definition of done. Then tuning from real usage.

Founder
Madhawa Adipola
Based
Colombo, Sri Lanka
Fixed scope is how serious delivery happens at your size — one workflow, one internal owner, one definition of done, then tuning from real usage. Scope expands only when the first win earns it.
Under the hood you still get reasoning, integrations, and human review where they matter — but your team meets a clear, measurable outcome first, not a stack of mystery tickets.
We lead with the outcome — not the jargon. Buy the first workflow, see it work, then decide what else is worth building.
We build practical AI-powered software that helps businesses improve marketing, content creation, and operations.
LinkedIn content planning, publishing, and analytics platform
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Share a little context. One-business-day reply. One-workflow engagement.