Copilot 01
R
Reply drafting
Support & sales minutes per reply
AI Integrations / Copilots · Knowledge Search · Intake Triage
Start behind the counter, not on the homepage.
Staff-facing AI first: intake triage, response drafts, knowledge search, sales prep and admin copilots, built into the tools your team already uses. The public chatbot can wait until the inside works.
AI integration services
Internal copilots
Knowledge search
Response drafts
Intake triage
CRM, inbox, WordPress
// 01
what we build
AI that helps your team work faster, inside the software they already open.
Our AI integration services start behind the counter, where the hours go: reading inquiries, drafting the same replies, searching for the policy, preparing for the sales call, filling in the admin. The homepage chatbot is the shiny door.
We put AI there first. A copilot reads the inbox and drafts; a search answers from your documents with the source attached; a triage step sorts intake before a person sees it. Inside your CRM, inbox, helpdesk or WordPress, with permissions kept.
Each copilot is a small project with its own number: minutes per reply, time to find an answer, inquiries handled per day. The public-facing AI comes later, if it comes at all. For a connected process across several systems, see AI Workflow Automation.
01
Support and sales reply drafting
02
Intake triage and routing
03
Knowledge search over your documents (RAG)
04
Sales prep and account briefs
05
Meeting and call summaries
06
Admin copilots for forms and data entry
07
CRM, helpdesk and inbox integration
08
WordPress and web app integration
09
Permissions and data scoping
10
Evaluation and output review
11
Cost controls and model routing
12
Documentation and handover
// 02
guardrails before personality
A copilot is useful when it is grounded, scoped and reviewed.
A general model answers confidently about things it does not know. Inside a business that is a liability. So the copilot answers from your documents and your systems, shows its source, and says when it has none.
It sees only what the person using it may see. It drafts; a person sends. It logs what it used. Those three rules make it something your team can rely on rather than check.
Personality, tone and the public chatbot are last. Start behind the counter; the numbers there are easier to measure and harder to argue with.
// 03
the four copilots
Four copilots, one per bottleneck.
Most teams need one of these first. Each is a small project with its own measure and can run alone.
Copilot 02
I
Intake triage
Operations sorted before a person reads
Copilot 03
K
Knowledge search
Everyone answer with the source
Copilot 04
S
Sales prep
Sales a brief before every call
Ask for a quote for a first copilot. Knowledge search needs your documents organized first; we say so in the review and scope that step separately if needed.
// 04
how rtw works
Pick the bottleneck. Ground the copilot. Measure it inside the tool.
We start with the task that costs the most minutes, the systems where its answers live, and the permissions that must hold. For ongoing maintenance after launch, see Application Support.
copilot.flow
06 stages
REVIEW
30-minute call, one bottleneck
SCOPE
task, data, permissions, quote
GROUND
documents, CRM, policies connected
BUILD
copilot inside the tool
CHECK
output review, evals, logs
RUN
measured, then the next one
01
Process review
A 30-minute call about the task your team repeats most. We tell you which copilot it wants and what it needs to be grounded in.
02
Scope and quote
The task, the data it may use, the permissions, what it drafts and who sends, the measure of success, an agreed quote.
03
Ground it
We connect the documents, the CRM records, the policies. Where the documents are a mess we say so and scope the clean-up.
04
Build it where the work is
The copilot appears inside the inbox, the helpdesk, the CRM or WordPress, not in a new window.
05
Check it
Output review with your team, evaluation on real cases, logs of what it used, cost limits.
06
Run and measure
Live for a month with the number we agreed. Then the next copilot, or none.
// 05
why rtw
AI integration without the theater.
Staff-facing first
We start where the hours go and the measurement is honest. The public chatbot comes later, if the numbers say so.
Grounded, with sources
Copilots answer from your documents and systems and show where the answer came from. No source, no answer.
Permissions kept
The copilot sees what the person may see. Access is scoped to the job and logged.
Inside your tools
Inbox, helpdesk, CRM, WordPress, the custom systems we build. Nothing new to learn.
Senior engineers, Reston VA
The people who scope the copilot build it and support it. Since 2012, for USA TODAY, Century 21 New Millennium and businesses across the DC metro.
client voices
What clients say.
// 06
features
What we can build into an AI integration.
AI integration services
LLM integration services
Internal AI assistant for teams
AI copilot development
Reply drafting copilots
Intake triage automation
AI knowledge base with RAG
Semantic search over documents
Sales prep and account briefs
Meeting and call summaries
Admin and data-entry copilots
CRM and helpdesk integration
Inbox integration (Google Workspace, Microsoft 365)
WordPress and web app integration
Permissions and data scoping
Evals and output review
Logging and observability
Cost controls and model routing
Customer-facing AI, when the inside works
// 07
services checklist
A practical checklist of what RTW can help with.
Review / discovery
Scope / plan
Ground / data
Build / engineering
Check / quality
Run / post-launch
// 08
fit
Good fit when your team answers the same questions and searches the same folders.
RTW is a good fit when a team repeats a task with words in it: replies, triage, lookups, briefs, summaries, forms, and the answers live in systems we can connect.
It is not a good fit when the first ask is a public chatbot with no inside to stand on. We will say that, and suggest where to start instead.
common situations
- Support or sales replies take minutes each and say the same things
- Intake lands in one inbox and someone sorts it by hand
- The answer exists in a document nobody can find
- Sales calls start without a brief
- Meeting notes and summaries are written after hours
- You want AI inside the CRM or helpdesk you already pay for
- You want to measure one copilot before buying a platform
// 09
straight answers
Straight answers to the questions we usually hear first.
OBJ 01
Why not start with a chatbot on the website?
Because the inside is where the hours go and where the numbers are honest. A public chatbot with no grounded inside answers confidently and wrongly. Start behind the counter; add the public door when the inside works.
OBJ 02
Our documents are a mess.
Then knowledge search starts with a clean-up we scope separately, or we begin with a copilot that does not need it, such as reply drafting or triage. We say which on the review call.
OBJ 03
Will it leak data between people?
No. The copilot sees what the person using it may see. Access is scoped and logged, and the model provider does not train on your data.
OBJ 04
Can it work with the software we already have?
Usually, yes: inboxes, helpdesks, CRMs with an API, WordPress, and custom systems. The scope names the connections before the build.
OBJ 05
How do we know it helped?
Each copilot has one number agreed before the build: minutes per reply, time to answer, inquiries sorted per day. We measure it for a month.
// 10
common questions
Questions from the intake conversations.
01 What are AI integration services?
Adding AI to the software a business already uses, so it helps with real tasks: drafting replies, sorting intake, finding answers in documents, preparing briefs, filling forms. The work is the integration, the grounding and the guardrails, not the model.
02 What is a staff-facing copilot?
An AI helper that works for your team inside their tools, rather than for the public on your website. It drafts, finds and sorts; people review and send. For a process that needs to choose its own next step, see AI Agents.
03 Can you add AI to our existing app or CRM?
Yes, when the system has an API or we built it. HubSpot, Pipedrive, Salesforce, Zendesk, Freshdesk, Google Workspace, Microsoft 365, WordPress and most custom systems qualify.
04 What is knowledge search with RAG?
A search that answers questions from your own documents and shows the source. RAG (retrieval-augmented generation) means the AI reads the relevant documents before answering instead of guessing.
05 How do you keep permissions?
The copilot runs with the access of the person using it and nothing more. We scope data per role and log what was used.
06 How much does a first copilot cost?
Ask for a quote. We review one task and agree the scope before the build. Knowledge search over messy documents may need a clean-up scoped separately.
07 Which AI models do you use?
Anthropic, OpenAI or Google models, chosen per task, with model routing and caching to keep costs down. Your data is not used for training.
08 Can it become customer-facing later?
Yes. Once the inside copilots are grounded and measured, the same foundation can serve a public assistant with the same guardrails.
09 Do you work remotely?
Yes, across the United States. Clients in Reston, VA and the DC metro can meet us by appointment.
// ready when you are
Bring us the task your team repeats. We'll put the copilot where it belongs.
A 30-minute review of the task that costs the most minutes: which copilot it wants, what it must be grounded in, who sends, and what the first one would cost.
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