DTC brand with 600 tickets a day
4h to 12m
Support queue
Triage and reply drafts helped the team answer faster without hiring another support cohort.
4-week AI automation sprint
Ship one useful automation
in 4 weeks.
Pick one repetitive workflow. We build the automation into your real tools, keep humans in control, and prove whether it saves time before you commit to anything bigger.
$10k flat · One workflow · Senior engineer, hands-on
4 weeksto first production automation
1 workflowchosen for clear business value
$10kfixed sprint price
Optionalmonth-to-month support after launch
What we build
One painful workflow.
One useful automation.
We find a repetitive process your team already does every week, build the automation around your real tools, and measure whether it saves time before expanding to the next one.
Support and inbox cleanup
Classify messages, draft replies, route urgent issues, and keep the human approval step where quality matters.
Voice agents
Answer calls, qualify leads, book appointments, collect details, and write clean notes back into your systems.
Sales admin
Research accounts, enrich records, draft follow-ups, score leads, and reduce the busywork around the next conversation.
Internal knowledge
Give teams one place to ask questions across docs, Slack, drives, and SOPs with grounded answers and source links.
Reports and back office
Pull data from spreadsheets and business tools, flag exceptions, draft summaries, and keep recurring reports moving.
Not sure what to automate first? Bring the messy workflow. We will tell you what is worth building, what is not, and where the first hour savings should come from.
Book an automation auditThe honest comparison
Hiring is slow.
DIY gets messy.
Tap gives you a senior engineer who can find the workflow, build the automation, and keep it working without turning one project into a permanent hire or a consulting program.
Tap is the middle path.
Start with one workflow, ship the first automation in weeks, stay month-to-month, and expand only when the numbers justify it.
Hiring takes time.
A good AI engineer is expensive, hard to evaluate, and still needs months to learn your business before shipping useful automations.
Consulting gets heavy.
Large firms turn a single workflow into discovery, strategy, steering committees, and a statement of work before anything reaches production.
DIY burns weekends.
Zapier, n8n, and AI tools are useful, but someone still has to design the workflow, debug failures, handle edge cases, and keep it running.
Outcomes
Practical automations.
Measurable results.
The exact workflow changes by company. The pattern is the same: remove repetitive work, keep humans in control, and measure the time saved.
Professional services team
8h to 45m
Proposal drafting
A knowledge copilot drafted proposals from past work so senior people spent time reviewing, not rewriting.
Manufacturing back office
2w to 2d
Finance reporting
Reconciliation, exception flags, and draft reports cut down the manual work around month-end close.
How it works
Start with one workflow.
Make it work in production.
No giant transformation plan. We choose one process, ship the automation, and use the results to decide what comes next.
01
Pick the workflow
We look at where time is leaking and choose one workflow that is worth automating first.
02
Build the automation
We connect it to your real tools, add the AI where it helps, and keep review steps where judgment matters.
03
Run and improve
We monitor quality, fix edge cases, and decide whether to expand, adjust, or move to the next workflow.
Pricing
Fixed sprint.
Working automation.
Start with one workflow and one clear outcome. If it works, keep shipping month-to-month. If it does not, you are not locked into a retainer.
Best first step
4-Week Automation Sprint
Fixed scopeOne painful workflow turned into a working automation.
$10kflat
- One senior engineer working directly with you
- Workflow audit and success metric
- One production automation built into your tools
- Tool integrations, prompts, retrieval, and model tuning
- Security basics: scoped access, logs, human review
- Launch notes, handoff, and results readout
After launch
Keep shipping only if the sprint proves useful.
Continue month-to-month for maintenance, tuning, and new automations. The sprint makes the buying decision smaller: prove one workflow first, then decide what comes next.
Who we work with
Best fit: teams with repetitive knowledge work.
If the work happens in inboxes, docs, CRMs, spreadsheets, support tools, or calls, there is usually a good first automation to build.
Services firms
Consulting, legal, agencies, and expert teams that spend too much time drafting, searching, and reporting.
Proposals, client reports, knowledge search
Support-heavy teams
Companies with inboxes, tickets, calls, and intake queues that need faster response without losing quality.
Triage, reply drafts, voice agents
Sales and operations
Teams buried in research, enrichment, handoffs, follow-ups, and repetitive coordination work.
Lead research, CRM updates, follow-ups
Back office
Finance, admin, and reporting workflows where people copy data between systems and chase exceptions.
Invoices, collections, reporting
Model choice
Use the right model.
Do not marry the vendor.
Some workflows need speed. Some need long context. Some need low cost or private deployment. We test against your real examples and choose based on evidence, not brand loyalty.
OpenAI
Anthropic
Google Gemini
Meta Llama
OpenAI, Claude, Gemini, Llama, and others when the workflow calls for them.
Aman Meghrajani
Founder & Principal Engineer
A note from the founder
“Most AI projects fail because they start too big.”
Tap is built around the opposite approach: one painful workflow, real tools, clear human review, and numbers we can measure.
You work directly with a senior engineer. No junior handoff, no model resale agenda, no six-month strategy deck before anything ships.
If you have a workflow eating your team's week, I would like to see it. Book the audit. Thirty minutes. No slide deck.
Questions
What people ask before they start.
A workflow audit, one production automation, integrations into your tools, prompt and model tuning, scoped access, human review points, and a results readout.
Hiring is slower and more permanent. Tap gives you senior implementation help now, without recruiting, onboarding, payroll, or long-term commitment.
For simple triggers, yes. We help when the workflow needs language, judgment, data lookup, integrations, edge-case handling, or human review.
We define the success metric before building. If the audit does not find a workflow worth automating, we say so instead of forcing a project.
We use scoped access, document the data flow, keep approvals with your team, and avoid sending sensitive data anywhere it does not need to go.
Usually within one week. The sprint is designed to ship a useful production automation in roughly four weeks, depending on access and workflow complexity.
Next step
Start with one workflow.
Ship something useful.
Bring the repetitive process your team keeps doing manually. We will audit it, scope the sprint, and tell you whether it is worth automating before you spend more.
$10k flat sprint. One workflow. Senior engineer, hands-on.