Four workflows we can build. One should go first.
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.
Support Agent
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
Sales Follow-up
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
Knowledge Copilot
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
Social Publishing Automation
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
Not sure which workflow should go first? Start here.
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
A ranked decision, not a pile of AI ideas.
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.
Workflow inventory
A practical map of repeat work across support, sales, content, and operations — tied to the tools and owners already in place.
Opportunity score
Each candidate workflow is ranked by friction removed, implementation effort, risk, data readiness, and measurement clarity.
First-build recommendation
One named workflow is selected as the best first win, with the reason it should come before the others.
Launch plan
A numbered implementation path covering inputs, integrations, approval points, hand-off, and success metrics.
Five days to choose the first workflow.
Fast enough to keep momentum, structured enough to avoid picking the loudest problem instead of the best first win.
Day 01
Intake
Collect the workflows, tools, bottlenecks, current volume, and team constraints that shape the first useful automation.
Day 02
Map
Turn scattered pain points into comparable workflow candidates with owners, inputs, outputs, and measurable drag.
Day 03
Score
Rank opportunities by leverage, feasibility, platform risk, customer impact, and how quickly the team can adopt the change.
Day 04
Select
Choose the first workflow and define what gets built, integrated, measured, deferred, and explicitly left out.
Day 05
Plan
Deliver the launch plan, owners, success criteria, and next-step implementation scope for the selected workflow.
The first thing we automate is usually the dullest thing you do.
One repetitive workflow: ship it, then measure it — no roadmap theater.
Stop answering the same question five times a day.
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.
- Grounded answers — not guessed.
- Escalation paths you control.
- Hand-offs include full thread context.
No inbound lead sits untouched for a day.
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.
- Qualifies against rules you already trust.
- First-touch in minutes, not the Monday sweep.
- Hand-off is context, not just a name and email.
Answers live inside the task, not across eight tabs.
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.
- One place over scattered files.
- Sources attached so answers are auditable.
- Less tab-hopping on repeat internal questions.
Audit. Build. Launch. Optimize.
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.
Audit
We map the workflow, tools, and bottlenecks and pick the one place AI will create obvious leverage first.
Delivers Workflow map + ROI estimate
Build
We design the agent, the prompts, the integrations, and the guardrails around a single, named use case.
Delivers Prompts, logic, and integrations
Launch
We deploy into your environment, brief the team, and agree on the numbers that tell us it’s working.
Delivers Deployment + training + KPI tracking
Optimize
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.
Built for small teams that would rather ship than deliberate.
B2B SaaS
Teams drowning in repeat support, demo requests, and onboarding questions.
Agencies
Firms that want tighter lead handling and fewer repetitive manual tasks.
Consultancies
Founder-led teams that need leverage without a custom software project.
Service businesses · 5–50
Small B2B operators who want one practical AI win before committing further.
What a good first win tends to look like.
Mini case simulations — not client names. Picture your version of the same workflow.
Support inbox relief
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.
Sales follow-up consistency
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.
Internal knowledge access
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?
Founder-led. Hands-on. No handoff.
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
We keep the technical sophistication backstage and sell the operational result up front.
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.
- Fixed scopeOne workflow. One use case. One definition of success.
- Fixed timelineFourteen days, start to launch — momentum doesn’t leak.
- Fixed deliverablesYou know what ships, what’s documented, and what hand-off looks like.
- Low-risk first stepA real operational result before committing to a broader AI roadmap.
Tell us the repetitive thing. We’ll tell you if it’s the right first workflow.
Let’s find the right workflow to automate first.
Share a little context. One-business-day reply. One-workflow engagement.