Email:info@softosmith.com
Working Hours:Mon - Fri: 9 AM - 5 PM (PKT)
For product-led teams weighing in-app AI features against support automation and internal ops. In 10 business days, fixed price, we map where AI actually moves retention, cuts support load, and fits your engineering team's real capacity — no software pitch at the end.
You have a “which AI opportunity actually moves the metrics” problem. Product wants an AI feature, support wants ticket automation, and engineering is stuck deciding what to build first with no shared scoring.
A chatbot widget or an "AI" badge gets shipped before anyone maps whether it solves a real product problem or just checks a box on the roadmap.
Onboarding questions and support tickets repeat the same patterns every week, and nobody has measured what automating the top ones would actually be worth.
Build versus buy for AI features gets relitigated every sprint planning, because nobody has scored the opportunities against the team's actual capacity.
Picture support and engineering spending even 8 hours a week on manual ticket triage or repeated onboarding questions that a well-built automation could handle — that's over 400 hours a year of team capacity spent on work that doesn't ship features. Gartner and other industry researchers have warned that a large share of AI projects get abandoned within their first year, most often because nobody had a clear picture of which opportunity to target or whether the team had the capacity to build it. This audit exists to give a SaaS team that picture before a sprint gets committed to the wrong bet.
Five concrete deliverables spanning your product, your support queue, and your internal ops — not a deck of generic AI feature ideas.
Every deliverable is something your product, engineering, and support leads can open, act on, and keep.
A direct conversation with your team to pin down the support ticket patterns, the onboarding drop-off points, and the internal ops (churn analysis, ticket triage) already eating engineering or CS time.
We map your three to five highest-friction workflows — spanning in-app product features, onboarding automation, and internal ops — step by step, and price every bottleneck in actual dollars against build effort.
What's already available off the shelf for your exact stack, what competing products are already shipping as AI features, and where your team could realistically leapfrog them in a quarter.
Every opportunity found across product, support, and internal ops, scored on Impact, Effort, and Readiness against your engineering team's actual capacity. You get this as a working spreadsheet you own outright.
A document built for whoever signs off on the roadmap: a 30-day sprint, a 90-day roadmap, a 12-month direction, budget ranges, and build-versus-buy calls for each opportunity.
Not a strategist reading a framework. This audit is run by the person who actually builds AI agents and RAG pipelines for a living — when the plan says something is buildable in three weeks, that estimate comes from someone who has built the equivalent.
$2,500. One number. No scope creep, no surprise invoice halfway through week two.
The spreadsheet and the plan are yours outright. Take them to your own engineering team, another agency, or back to Softosmith.
The plan tells you what's worth building in-house versus buying, based on what your engineering team can realistically ship — not a generic "add AI" checklist.
30 minutes, free. We talk about your product, your team's engineering capacity, and whether this audit is actually the right move right now. If it isn't, you'll hear that directly.
10 business days, $2,500 fixed. Your side commits roughly 8 to 10 hours total across the two weeks, spread across product, engineering, and support/CS. The heavy lifting is on us.
Day 11 onward, your team runs the plan. If you'd rather have Softosmith build what it recommends, that work is scoped and billed separately at $60/hour. The audit stands on its own either way.
A good fit if:
You have a real decision pending about where AI belongs in your product, support flow, or internal ops.
You've shipped an AI feature or tool already and couldn't tell whether it actually moved retention or reduced support load.
You want a sequenced plan with real effort estimates, not another vendor demo pitching a bolt-on widget.
You can pull product, engineering, and support leads for a few hours of conversation across two weeks.
Probably not a fit if:
You don't have a live product or support volume yet — the audit needs real workflows and real tickets to map.
You already have a finished AI product roadmap and only need someone to build it — ask about a direct build engagement instead.
You want a free strategy session disguised as a sales call — this is a paid diagnostic with real deliverables.
Nobody on product, engineering, or support can spare even a few hours of input over two weeks.
No client logos or star ratings here — just the commitments this audit is held to.
You work directly with Amin Ali, the person actually running the audit — no account manager relaying messages back and forth.
The $2,500 we quote upfront is what you pay. No surprise invoice halfway through week two.
The spreadsheet and the Action Plan are yours outright, on day 11. Take them anywhere, including nowhere.
The same productized audit used across every client — just scoped across your product, support, and internal ops.
$2,500 fixed price
The same fixed-price, 10-business-day audit, scoped across your product, support, and internal ops.
If student data, compliance, and LMS context matter more to you than product roadmaps, the education-focused version of this audit is built around that.
$2,500, fixed. No hourly billing, no line items that show up later.
10 business days from kickoff to the final Action Plan in your inbox.
Both. The Workflow Maps and Opportunity List cover in-app AI features, support and onboarding automation, and internal ops like ticket triage and churn analysis.
Yes. The Stack and Competitor Scan is calibrated to your team's actual capacity, so the plan tells you what's worth building in-house versus buying, not a generic "add AI" list.
Roughly 8 to 10 hours total, spread across product, engineering, and support/CS leads over the two weeks. Most of the work happens on our end.
A one-page Operations Snapshot, Workflow Maps with a cost model, a Stack and Competitor Scan, a Prioritized Opportunity List as an editable spreadsheet, and a 3 to 5 page Action Plan covering 30, 90, and 365 days.
Yes, billed separately at $60 per hour and scoped to the specific recommendation. You are never required to use Softosmith for the build.
Book the free 30-minute discovery call. If it's a fit, the audit can usually begin within two weeks.
Or you can spend another quarter debating build vs. buy in a group chat. Your call.
