Zapierfrom $450
Form to CRM with instant follow up
Website form submissions become CRM contacts, tasks, and an acknowledgement email in under a minute, with no lost submissions.
Forward deployed AI engineering
Scale your business 10x without hiring more staff
We embed a senior engineer inside your team who learns how the work actually happens, then builds the AI systems that take the repetitive tasks off your plate. The leverage of a senior hire, without the headcount.
Now removinglead routing and qualificationsupport ticket triageinvoice and document matchingweekly reporting packs
Free written quoteMonth one refundableYour code, your cloudReply within 24 hours
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Built on the tools your team already runs
Work and commentary featured in
Y CombinatorTechCrunchThe Next WebProduct HuntSiftedBBC
30+Companies served
200+Integrations deployed
45+Products and features shipped
11Countries with live deployments
What we do
Five ways we take work off your team
Every engagement starts by measuring where the hours actually go. What follows is whichever of these moves the number, and nothing you do not need.
Automate repetitive tasks
Most teams carry 20 to 40 hours a week of copy, paste, check, and re enter. We find it, measure it, and remove up to 80 percent of it.
Connect your whole stack
Over 100 tools wired together so data stops living in one system and dying in another. CRM, helpdesk, billing, warehouse, spreadsheets.
Custom AI agents
Agents that qualify leads, draft support replies, process documents, and escalate anything they are not confident about.
Real time intelligence
Dashboards and alerts built on live operational data, so a problem surfaces the day it starts rather than at month end.
Strategy that ranks by return
A roadmap that names what to build, what to buy, and what to skip, with payback estimates against each line.
Not sure which applies?
The free quote answers that. Describe the process and we tell you which engagement fits, what it costs, and what it should return, within 24 hours.
Get a free quoteServices
Three ways to work with us
Automate what already exists, build what does not, or add capability to the team you have. Most clients start with one and expand.
Take repetitive work off your team
Agents, workflows, retrieval, and the engineering that keeps them running.
Automate
AI Agent Development
Production agents that ship and ship again
90 to 160hours a monthrecovered across support triage, CRM updates, and lead routing
- Runs 24/7
- Escalates when unsure
- Every decision logged
- No extra headcount
From $8,5004 to 8 weeks
Automate
Custom Workflow Automation
n8n, Make, or custom code, wired into your stack
25 to 45hours a monthreturned from CRM data entry, lead routing, and status updates
- 60 to 80 percent fewer data errors
- Runs on your own n8n
- Alerts when it breaks
- Ops can maintain it
From $2,4001 to 3 weeks per workflow
Automate
RAG Pipeline Development
Retrieval tuned for your domain, not a generic vector dump
40 to 70hours a monthstaff time no longer spent hunting through documents, tickets, and wikis
- Every answer cites its source
- Respects your permissions
- Refuses when unsure
- Reindexes automatically
From $6,5003 to 6 weeks
Automate
Custom Automation Engineering
When the off the shelf tool cannot do it
35 to 60hours a monthreturned from reconciliation, scheduled reporting, and cross system data fixes
- Handles the cases node graphs cannot
- Tested and version controlled
- Recovers from partial failure
- Your repository, your cloud
From $4,9002 to 8 weeks
Automate
Automation Maintenance and Support
Ongoing monitoring, repair, and evolution
100+automated hoursprotected every month, because a silent failure returns the work to your team
- Alerting before you notice
- Named engineer on call
- Monthly improvement block
- Honest quarterly reporting
From $1,200 per monthMonthly retainer
Ship products and platforms
MVPs, enterprise agent infrastructure, and security review for AI native teams.
Build
SaaS MVP Development
Ship a real product, not a demo
30 to 60daysto a product that can onboard and charge a paying customer
- Takes payment on day one
- Multi tenant from migration one
- Admin panel included
- You own the repository
From $18,00030 to 60 days
Build
Enterprise Agent Stack Setup
Our internal agent runtime, deployed in your environment
6 to 10weekscut from the security review that is blocking your agent projects
- Runs in your own cloud
- Secrets never touch prompts
- Full audit trail
- Security pack for procurement
From $12,0002 to 4 weeks
Build
AI Development Security Audit
Lock down your AI development environment
1 to 2weeksfrom kickoff to a ranked, demonstrated remediation list
- Ranked by blast radius
- Findings demonstrated, not theorized
- Hardened baseline config
- Optional re-test
From $3,9001 to 2 weeks
Add capability without adding headcount
Embedded engineers, strategy leadership, workshops, and training programs.
Grow
Team Augmentation
AI native engineers, embedded in days
4 to 6monthsof hiring cycle skipped, with a senior engineer productive inside a week
- Starts in days
- Replaceable in two weeks
- Knowledge transfer built in
- No recruiter fee
From $6,800 per monthMonthly, 3 month minimum
Grow
AI Strategy and Fractional CAIO
Where to invest your AI budget, ranked by return
3 to 5projectskilled before they burn budget, which is usually where the money is made
- Ranked by payback, not by hype
- Build versus buy on merit
- Governance model included
- Board ready reporting
From $4,500 per monthOngoing, monthly
Grow
AI Workshops
Up level your team in one week
8 to 16peopleeach leaving with a working automation running against their own real workload
- Built on your tools and data
- Everyone ships something
- Recordings you keep
- 30 day office hours
From $3,2001 to 5 days
Grow
Custom Training Programs
Hands on programs tailored to your stack
12 to 20people per cohortmeasured before and after, with cohort projects drawn from your real backlog
- Baseline and post assessment
- Real backlog projects
- Champion enablement pack
- Runs 4 to 12 weeks
From $9,5004 to 12 weeks
Ways in
You do not have to start with a project
Most people are not ready to sign a five figure scope with a supplier they have never used. So there are cheaper, faster, lower risk ways to find out whether we are any good.
Automation catalog26 builds, from $450
Specced, costed, and ready to build across n8n, Zapier, Make, GoHighLevel, Airtable, and custom code. Every one has its own page with the trigger, the steps, and the guard rails.
Micro servicesFrom $250, no depositFixed price small jobs finished in days rather than weeks. Audits, single workflows, integrations, repairs, and dashboards.
Fix what you already haveDiagnosis from $250, creditedSomething built by somebody else has stopped working and nobody knows why. We find the root cause in two days and tell you honestly whether to repair or rebuild.
See them runningInteractive simulatorStep through real n8n, Zapier, and GoHighLevel workflows node by node, with the branches and exit conditions visible.
Every price publishedRates, retainers, projectsRate cards, retainer tiers, and starting prices for every service. Working out what something costs should not require a sales call.
Field notes7 min readThe only automation maths that matters. Most automation business cases are written to be approved, not to be true. Here is the calculation we run before quoting, including the two costs everyone leaves out.
Cheapest builds
Three automations under a thousand dollars
Zapierfrom $500
Receipt capture and expense coding
Photograph a receipt, and it arrives in the accounts coded, categorized, and attached to the right transaction.
Zapierfrom $550
Review and referral request engine
Happy clients get asked for a review at the exact moment they are happiest, and unhappy ones get routed to a human instead.
How we operate
Four commitments we put in the contract
Agency promises are cheap. These are written into the engagement agreement, which is a different thing entirely.
Ship a product, not a demo
Every engagement ends with something running in production against real data. Slide decks are not a deliverable.
Month one is refundable
If the first month does not land, you get it back. We would rather refund than carry a project neither side believes in.
One human, many agents
A senior engineer accountable to you, with an agent fleet behind them. That is how a small team ships at this rate.
Your code, your cloud
Source, infrastructure definitions, and documentation transfer to you. No lock in, no proprietary runtime you cannot leave.
Already have automations, and they are misbehaving?
We get called into other people's broken workflows as often as we build new ones. The causes are boringly consistent: expired credentials, a third party API that changed, a missing idempotency key, no alerting so nobody noticed for eleven days.
- It worked, then it stopped
- It creates duplicates
- It fails silently
- It is slow or times out
- Nobody knows how it works
- The bill keeps rising
Diagnosis first, decision second
Triage is $250 and takes two business days. You get the root cause in writing, with the evidence, and a fixed price to repair it or an honest recommendation to rebuild.
The fee credits in full against the fix if you proceed. If we cannot find the cause, you pay nothing.
- Any platform: n8n, Zapier, Make, GoHighLevel, Power Automate, Airtable, code
- Read only access is enough to diagnose
- We will not criticize whoever built it, that is rarely warranted
- Estate takeover available when it is not one workflow but forty
Integrations
Wired into the stack you already run
Over 200 integrations deployed across client environments. If it has an API, a webhook, or a scheduled export, we can connect it.
Agent runtime
ClaudeClaude CodeOpenAICursorLangGraphOllama
Orchestration
n8nMakeZapierMCPTemporalAirflow
Compute and data
AWSGCPSupabaseVercelRailwayPostgres
Outbound and CRM
HubSpotSalesforceClayApolloPipedriveInstantly
Collaboration
SlackLinearGitHubNotionJiraAsana
Commerce and finance
StripeShopifyXeroQuickBooksPayPalAmazon
All product names, logos, and brands shown on this site are the property of their respective owners. They are used here for identification purposes only, to describe the platforms our services integrate with and the tools we work in. Use of these names, logos, and brands does not imply any endorsement, sponsorship, certification, or affiliation. deepaibots is an independent service provider and is not affiliated with, sponsored by, or endorsed by any of the companies shown.
Process
What the first eight weeks look like
No discovery phase that produces a slide deck and an invoice. Week one measures, week two plans, and from week three you are looking at working software.
Week 1
Discovery
We map where the hours actually go. We shadow the work, measure volume and cycle time, and rank the opportunities by payback.
Week 2
Strategy
A written roadmap with scope, cost, and expected return per initiative, including the ones we recommend against.
Weeks 3 to 8
Implementation
Weekly deployable increments to a staging environment. You see progress every week, not at the end.
Ongoing
Optimization
Monitoring, monthly improvement cycles, and quarterly review of what deserves more investment.
Workflows
How we actually work, written down
Not a blog index. These are the real processes we run for clients and on our own business, step by step, with the tools, honest timelines, and the cases where each one is the wrong choice.
01Map the real process
02Design the data contract
03Build failure paths first
04Replay historical volume
05Hand over with docs
Every workflow below follows this sequence. The steps change, the discipline does not.
Build
Agentic Engineering System
How we standardize engineering work as reusable agent skills, so every build starts from a proven playbook rather than someone's improvised prompt.
5 steps, 1 to 3 weeks depending on how many processes we capture
Read the workflowBuildAI Product Build
Our end to end process for shipping an AI product or feature: scope the risky part first, build on proven rails, launch with evals and guardrails in place.
5 steps, 3 to 8 weeks
Read the workflowAutomaten8n Workflows That Survive Production
Mapped processes, error handling, idempotency, monitoring, and a clean handover, which is the entire difference between a demo and an asset.
5 steps, 1 to 3 weeks per workflow
Read the workflowGrowLead Qualification Workflow
Capture, enrich, score, and route inbound leads automatically so response time drops to minutes and your sales hours land on the leads that can actually close.
5 steps, 2 to 4 weeks
Read the workflowGrowContent Adaptation for GEO and SEO
An automated content pipeline where search data drives research, a human gates every draft, and schema plus internal links ship by default rather than as an afterthought.
6 steps, 2 to 4 weeks
Read the workflowGrowGTM Automation
Research and personalization pipelines where humans approve everything before it sends, volume stays capped, and your sending domain stays healthy.
6 steps, 3 to 5 weeks
Read the workflowResults
What this looks like in production
Six engagements, measured before and after. Client names are withheld where the agreement requires it; the numbers are not.
Logistics
Dispatch coordination cut from 6 hours to 40 minutes a day
Three coordinators spent most of their day reconciling driver availability, load requirements, and customer time windows across a TMS, a spreadsheet, and a shared inbox.
Read the caseSoftwareFirst response time from 9 hours to 11 minutes
A support team of six was drowning in repetitive configuration questions while enterprise escalations waited behind them in a single undifferentiated queue.
Read the caseProfessional servicesContent output tripled with the same editorial team
Research and briefing consumed roughly 70 percent of each writer's time, capping output at four articles per week across the whole team.
Read the caseThe team
One human accountable, many agents behind them
Every engagement has a named senior engineer who owns the outcome. Behind them sits a bench of specialists and an internal agent fleet that handles the volume work. That is how a small team ships at this rate without the quality falling over.
Engineering leadership
Principal engineer
30 years across full stack, data, and systems engineering. Sets architecture standards and reviews every production release.
AI and ML
Applied AI lead
Retrieval, evaluation, and agent architecture. Owns the eval harness that gates every model change.
Automation delivery
Delivery lead
Process mapping and workflow engineering. Runs discovery and owns handover quality.
Platform and security
Platform lead
Infrastructure, secrets handling, and the security review pack that gets clients through procurement.
Free tools
Work out the numbers before you talk to anyone
Six free tools we built for our own discovery process. No email gate on any of them.
AI ROI Calculator
Model the payback period on an automation before you commit budget. Enter volume, cycle time, and loaded hourly cost; get a break even month.
Open toolAI Readiness Assessment
Twenty questions across data, process, tooling, and governance. Produces a scored profile and the three things to fix before you start.
Open toolWorkflow Audit Worksheet
The structured template we use in discovery. Map a process, count the handoffs, and find where the hours actually go.
Open toolAI Maturity Quiz
Where you sit on a five stage maturity curve, and what specifically moves you to the next stage.
Open toolModel Comparison Board
Current frontier and open models compared on cost per million tokens, context window, latency, and practical strengths.
Open toolAutomation Opportunity Scorecard
Rank candidate processes on volume, variability, error cost, and integration difficulty to find the right first project.
Open toolFAQ
Questions we get asked
What kinds of processes can you actually automate?
Anything with a repeatable pattern and a digital trail. Data entry across systems, document processing, lead routing, support triage, reporting, reconciliation, onboarding, and scheduling are the most common. The test is whether a person could write down the rules, even messy rules with many exceptions.
Do we need technical staff to run this?
No. We design handover for an operations person, not an engineer. Where something genuinely requires code to maintain, we flag it during scoping so you can decide whether to keep it in house or on a retainer.
Will it work with the tools we already use?
Almost certainly. We have deployed against more than 200 integrations, and anything with an API, a webhook, or even a scheduled export can be connected. Systems with no interface at all get assessed honestly, since sometimes the right answer is that a workflow is not worth automating.
How long before we see a return?
Simple workflows pay back in weeks. A typical first project ships in three to eight weeks and reaches break even within two to four months. The discovery audit gives you an estimated payback per initiative before you commit.
Can everything stay inside our own infrastructure?
Yes. Self hosted n8n, your own cloud account, your identity provider, and your logging stack. For regulated clients this is the default rather than an upgrade.
How do you handle security and compliance?
Least privilege credentials, secrets brokered from a vault at runtime, sandboxed execution, full audit logging, and a written security review pack for your compliance team. We produce the evidence artifacts; your assessor makes the determination.
What if the model we build on gets deprecated?
The tool layer and evaluation harness are model agnostic. Swapping providers is a configuration change plus a full eval run, usually under a day of work.
Who owns the work?
You do, completely. Source code, infrastructure definitions, prompts, and documentation transfer on final invoice. There is no proprietary runtime holding your process hostage.
What does an engagement cost?
Project work typically runs between $2,400 for a single workflow and $18,000 or more for a full product build. Retainers start at $1,200 per month. The discovery audit is free and produces a fixed quote.
What happens after I request a quote?
A member of our team contacts you within 24 hours with either a short set of clarifying questions or the quote itself. It covers scope, fixed price, timeline, and the expected return against your volumes. No obligation, and you keep the assessment either way.
Find out what this would cost you
Thirty minutes on a call, then a written assessment of where your hours go, which processes are worth automating, and what the payback looks like. You keep the assessment whether or not we work together.