Custom AI Agents · Live in 7 Days
Your Team Shouldn't Be Doing This Work.
We build AI agents trained on your internal data — connected to your tools, deployed in 7 days. Not chatbots. Not templates. Actual workflow automation.
✓
Handles support, ops, and reporting — without adding headcount
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Trained on your data, integrated with your tools from day one
✓
Live in 7 days. Scoped and priced before work begins.
20+
Agents Deployed
7 Days
Average Build Time
14 Days
Post-Launch Support
NDA
Friendly
The Real Cost
Manual Work Is Quietly Killing Your Margins
Every hour your team spends on repetitive tasks is an hour not spent on growth. Here's where the waste lives.
01
Support overload
Your team answers the same 40 questions on repeat. Every day. Every shift. The queue grows faster than you can hire.
02
Reporting built by hand
Someone exports data, pastes it into a spreadsheet, and formats a slide deck. Weekly. Every week. Same sources.
03
Documents processed manually
Invoices, contracts, and compliance forms land in an inbox and wait for a human to extract, route, or approve them.
04
Internal bottlenecks
Approvals, handoffs, and status updates get stuck in Slack threads and email chains. Nothing moves until someone follows up.
05
Headcount hired for repetitive volume
You're staffing up for work that shouldn't require a person. The cost compounds with every hire.
The Fix
Custom AI Agents Built Around Your Workflow
Not a chatbot you configure. Not a no-code template you adapt. An agent engineered specifically for how your business operates.
Trained on your data
Your documents, tickets, databases, and business rules. Not general knowledge — your institutional knowledge, made actionable.
Integrated with your tools
Slack, email, CRM, databases, APIs. The agent works where your team already works — no process changes required.
Purpose-built logic
Reasoning, retrieval, and actions designed for your specific workflow. Not a template adjusted to fit — engineered from scratch.
Deployed on your terms
Our managed infrastructure or your cloud. Full source code handoff on request. You own what we build.
Secure by design
Your data never trains external models. Isolated environments, audit logs on request, NDA-friendly from day one.
How It Works
From Discovery Call to Live Agent in 7 Days
01
Day 1Workflow Audit
We map your existing workflow, identify the highest-impact automation opportunity, and define exactly what the agent will handle. You get a clear scope and fixed quote before any work begins.
02
Day 2–6Build & Train
We build the agent using your data and wire it to your tools. Architecture approved by you on Day 2. Tested against real scenarios on Day 5 before handoff.
03
Day 7Deploy & Monitor
Your agent goes live. We handle infrastructure, monitoring, and a 14-day post-launch window to tune edge cases and iterate on real-world usage.
Use Cases
What an Agent Actually Handles
Each deployment is scoped to a specific workflow. These are the most common starting points.
Support Agent
Problem
Team drowning in repetitive tickets while response times slip.
What the Agent Does
Agent trained on your help docs and ticket history resolves queries 24/7 and escalates edge cases to humans.
Result
80% ticket deflection. Zero backlog. No new support hires.
Finance Reporting Agent
Problem
Weekly reporting takes 4+ hours per analyst — exports, formatting, deck-building.
What the Agent Does
Agent pulls from your databases on schedule, formats in your template, and flags anomalies automatically.
Result
Reports ready in minutes. Analysts focused on decisions, not data prep.
Sales Assistant Agent
Problem
Reps spend 30% of their time on CRM updates, follow-up drafts, and lead research.
What the Agent Does
Agent logs call notes, drafts follow-ups, enriches leads, and surfaces next actions inside your CRM.
Result
More pipeline worked. Less admin. Reps stay focused on deals.
Internal Ops Agent
Problem
Approvals and handoffs stuck in Slack threads for days with no visibility.
What the Agent Does
Agent routes requests, triggers workflows, sends updates, and escalates blockers inside your existing tools.
Result
20+ hours/month saved per employee. No process overhaul required.
Document Processing Agent
Problem
A team manually processes contracts, invoices, and compliance forms — with regular errors and delays.
What the Agent Does
Agent extracts, classifies, validates, and routes documents based on your exact business rules and formats.
Result
90% reduction in handling time. Errors caught before they propagate.
Knowledge Base Agent
Problem
Employees spend hours searching Notion, shared drives, and Slack threads for answers.
What the Agent Does
Agent answers questions directly from your internal knowledge base in plain English — instantly and accurately.
Result
Answers in seconds. Faster onboarding. Fewer interruptions for senior staff.
The Numbers
What Automation Looks Like at Scale
Ranges from actual deployments. Results vary by workflow complexity and data quality.
40–70%
Reduction in manual task volume
across deployed workflows
80%
Average ticket deflection
on support automation
20+ hrs
Saved per employee per month
on routine operational tasks
7 days
From call to live agent
average build time
24/7
Continuous operation
no shifts, holidays, or sick days
0
Headcount added
for fully automated workflows
Why Not the Alternatives
Built for Your Business. Not Built for Everyone.
No-code tools hit a ceiling. Generic chatbots don't know your data. Hiring takes months. We deploy in a week.
| No-Code Tools | Generic AI Chatbot | Rightshift | |
|---|---|---|---|
Custom to your data | No | No | Day 1 |
Complex workflow logic | Limited | No | Yes |
Time to deploy | Weeks of setup | Days | 7 days |
Handles edge cases | Rarely | No | Yes |
Scales without new hires | Partially | Partially | Yes |
You own the output | Your config only | No | Full code handoff |
Who It's For
Built for Teams That Have Outgrown Manual Processes
Ideal Company Profile
→
SaaS companies with repetitive support or ops workflows
→
E-commerce businesses managing high-volume operations
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Mid-sized teams (10–500 employees) scaling without adding headcount
→
Founders and Ops leaders who know what to automate but not how to build it
Your Data, Protected
✓
Your data is never used to train external models
✓
Deployed on isolated infrastructure or your own cloud
✓
NDA signed before scoping begins
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Audit logs available for compliance requirements
✓
Full source code handoff on request
FAQ
Common Questions
What kind of data can the agent be trained on?
Any data you own — documents, databases, spreadsheets, help desk tickets, CRM records, API responses, internal wikis. We connect to your sources securely and build retrieval pipelines specific to your business context.
Is my data safe?
Yes. We never use your data to train general models. Your data stays within your agent's environment — either on our managed infrastructure with strict isolation, or on your own cloud where you retain full control.
How is pricing determined?
Pricing is scoped on the discovery call based on complexity, integrations, and deployment model. We don't publish fixed prices because every agent is different — but we give you a clear, itemised quote before any work begins. No surprises.
Can the agent connect to my existing tools?
Yes. We integrate with Slack, email, CRMs (HubSpot, Salesforce), databases, Google Workspace, Notion, and most tools with an API. If it has an API, we can connect to it.
What happens after the 14-day support period?
On managed plans, monitoring and maintenance are included in your usage fee. On self-hosted, you can optionally purchase a support plan or manage it independently with the full source code we hand off.
What if the agent doesn't work as expected?
We iterate until it does. The 14-day post-launch window exists specifically for this — real-world testing, edge case handling, and tuning. We don't disappear after deploy.
Stop Hiring For Work AI Can Handle.
Book a 30-minute call. We'll identify your highest-impact automation and scope a build — no commitment required.