Lead research and scoring
Company, role, and fit pulled from your CRM and public sources, then scored against your ideal customer profile.
The Problem
Your Leads Wait for Hours While Reps Chase the Wrong Accounts
It shows up when lead volume grows faster than the team. Reps answer the loudest leads first, follow-ups slip, and the CRM fills with half-logged notes nobody trusts.
Slow replies
Inbound leads wait hours for a first answer.
Slow replies
The agent replies within minutes with a personal note and a booking link.
Manual research
Reps copy company details into the CRM by hand.
Manual research
Lead research and scoring run automatically and write back to the CRM record.
Lost follow-ups
Deals stall when nobody nudges them after the second call.
Lost follow-ups
Follow-ups trigger from CRM stages, with the rep approving each draft.
Missing history
Half the sales touches don't make it into the CRM.
Missing history
Every email, call note, and meeting the agent handles is logged on the record.
A demo request lands on Thursday evening. Your rep sees it Friday afternoon, after the buyer has already booked a call with a competitor. Meanwhile your SDRs spend mornings copying company details into the CRM and rewriting the same follow-up email in slightly different words. Deals stall because nobody nudged them after the second call. Your sales manager can't tell which messages worked, because half the touches didn't make it into the CRM.
We start with your CRM: the fields, stages, and rules your best reps already follow. Then we build an agent that researches each lead, scores it against your ideal customer profile, drafts a reply in your tone, and books the meeting. Reps approve messages until the agent earns auto-send rights inside rules you set. Every touch lands in the CRM, so your team sells instead of typing.
Works from your CRM
Every lead is researched and scored with your own CRM fields, notes, and deal history.
Reps approve before sending
Messages wait for a rep's approval until rules you set allow the agent to send alone.
Compliance in the workflow
Opt-outs, suppression lists, and call consent checks run before any message goes out.
Our AI Sales Agent Development Process
From Sales Playbook to Live Agent in Five Clear Steps
You sign off on the playbook and approval rules before we build, then review the agent's work on past leads before it contacts a single live prospect.
We map how leads arrive, how your best reps qualify them, and where follow-ups slip. You get a scope, the agent's first job, and a fixed price before we touch your CRM.
What's Included
What You Get With Custom AI Agents for Sales
An agent that handles the research, drafting, booking, and logging your SDRs do today, with approval rules and compliance checks your sales manager controls.
Compare Options
DeveloperLook vs AI SDR Software vs In-House SDR
AI SDR software suits teams that want to start this week, and an in-house SDR suits complex, high-value deals. Here is where each one fits and where it falls short.
| Feature | DeveloperLookBest fit | AI SDR Software | In-House SDR |
|---|---|---|---|
| Setup | Built on your CRM fields and rules | Fast signup with generic playbooks | Weeks to hire and train |
| Lead data | Your CRM, usage data, and notes | Vendor's contact database | Whatever the rep looks up |
| Message control | Your tone and approval rules | Templates with limited control | Depends on each rep |
| Compliance | Opt-outs and consent checks built in | Varies by vendor | Depends on training |
| Capacity | Scales with your lead flow | Scales within plan limits | Limited by working hours |
| Complex deals | Hands off to reps by rule | Mostly automated sequences | Strongest on nuanced deals |
| Ownership | Agent, prompts, and data are yours | Vendor subscription | Knowledge leaves with the rep |
| Cost | Fixed build plus model usage | Per-seat or per-contact fees | Salary plus commission |
DeveloperLook
AI SDR Software
- Setup
- DeveloperLook: Built on your CRM fields and rulesAI SDR Software: Fast signup with generic playbooks
- Lead data
- DeveloperLook: Your CRM, usage data, and notesAI SDR Software: Vendor's contact database
- Message control
- DeveloperLook: Your tone and approval rulesAI SDR Software: Templates with limited control
- Compliance
- DeveloperLook: Opt-outs and consent checks built inAI SDR Software: Varies by vendor
- Capacity
- DeveloperLook: Scales with your lead flowAI SDR Software: Scales within plan limits
- Complex deals
- DeveloperLook: Hands off to reps by ruleAI SDR Software: Mostly automated sequences
- Ownership
- DeveloperLook: Agent, prompts, and data are yoursAI SDR Software: Vendor subscription
- Cost
- DeveloperLook: Fixed build plus model usageAI SDR Software: Per-seat or per-contact fees
Projects We've Built
Marketplace, Real Estate, and SaaS Projects We Have Built
Products we built where leads, offers, and bookings move through a pipeline: dealer offer requests, agent viewings, and applicant tracking. None of them was a sales agent build.
Autocar Automotive App Design
- Automotive
- Dashboard
- Mobile App
Heritage Real Estate Website Design
- Real Estate
- Dashboard
- Booking System
DWLFNDR Real Estate Website
- Real Estate
- Dashboard
- Website
Saasmo Recruiting Software Web Design & Development
- Technology
- HR & Staffing
- SaaS Platform
What Our Clients Say
What Clients Say After Launch
Feedback from teams we have built apps, platforms, and websites for.
We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.
The mobile experience is probably my favourite part of the new site. We had spent a lot of time making sure the desktop version looked right, and the team kept pushing us to think about how everything would actually feel on a phone too. They were right. The navigation is clean, the interactions feel natural, and everything we’ve tested so far works exactly as it should. They also went through the links, forms, integrations, and other details more than once before launch, which I really appreciated. And even after going live, we could still reach out when something came up. The whole process felt friendly, organised, and surprisingly straightforward.
What I appreciate most is that the website is actually easy for us to manage now. We can update content ourselves instead of sending a developer a message every time we need to change something small. They also paid attention to the technical SEO side, which mattered to us because we didn’t want a new website to create problems for the traffic we already had. I’ve probably asked more questions than I should have since launch, but every question has been handled patiently and without any fuss. The team is easy to work with, they explain things clearly, and when we need something changed, they focus on getting it done rather than making the process complicated.
1,250+
Projects shipped
10+
Years of experience
Top 3%
Upwork Top Rated Plus
5 stars
Average review score
1,250+
Projects shipped
10+
Years of experience
Top 3%
Upwork Top Rated Plus
5 stars
Average review score
Want results like these?
Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.
Work Culture
Why Sales Teams Trust Us With Their Pipeline
Sales leaders want AI powered sales agents that book real meetings without burning their sending domain or their brand. These six habits keep that balance.
Reps stay in charge
We design agents to support reps, not replace their judgment. Big deals and sensitive accounts go to a person by rule.
Compliance before volume
We build CAN-SPAM opt-outs and call consent checks in before scaling outreach. Sending more email faster is worthless if it ends in complaints.
Your ICP, not ours
Scoring follows your ideal customer profile and your best reps' habits. The agent learns your market instead of a generic sales script.
Honest about fit
If your CRM's built-in AI features cover your needs, we tell you before we quote. A custom agent makes sense only when it earns more meetings.
Measured against your reps
We compare the agent's replies and meetings with your team's own numbers. Auto-send expands only where the results hold up.
You own the agent
Prompts, code, and rules live in your accounts at handover. You aren't locked into per-seat fees for software you paid to build.
Overview
Who builds an AI sales agent connected to your CRM?
DeveloperLook builds an AI sales agent that works inside your CRM to research leads, draft replies, follow up, and book meetings. Each build includes playbook rules, CRM and calendar connections, rep approval flows, opt-out and consent checks, and logging. Projects start at $1,200, take 2 to 10 weeks, and you own the agent.
DEVELOPERLOOK
Project facts · AI Sales Agent Development
- Service
- AI Sales Agent Development (lead research, reply drafts, meeting booking, CRM logging)
- Typical timeline
- 2 to 3 weeks for an inbound agent, 5 to 10 weeks for multi-agent setups
- Platforms
- HubSpot, Salesforce, Pipedrive, Zoho CRM, Gmail, Outlook, and Google Calendar
- Built with
- OpenAI, Claude, Python, TypeScript, CRM APIs, Model Context Protocol
- Experience
- 10+ years of development experience and 1,250+ shipped projects
- Post-launch support
- 30 days of tuning after launch
- Communication
- Calls in US, UK, and AU business hours
- Starting price
- From $1,200 USD, fixed scope after a discovery call
Reviewed 28 Oct 2026 by Saimul Islam
Good fit
B2B SaaS teams with inbound demand
Your demo requests and trial signups arrive faster than reps can research them, and the best leads wait in the queue overnight.
Founder-led sales teams
You are still the main salesperson, and you want an AI sales assistant that drafts follow-ups and books calls while you run the company.
SDR teams buried in research
Your SDRs spend mornings looking up accounts and logging notes, and you want an AI sales rep handling the prep so people make the calls.
Account managers growing clients
Your renewal and upsell signals sit in product usage data, and nobody has time to act on them before the contract date.
Agencies building sales tools
You build sales systems for clients and need AI sales agents development services delivered under your brand, wired into each client's CRM.
Not a fit
Agents for other work
You want an agent for support tickets, operations, or finance tasks. Our AI Agent Development Services page covers those workflows.
Voice cold calling at scale
You want an AI that calls lists by phone all day. AI Voice Agent Development covers that, and AI-voiced calls need prior express consent.
Buying contact lists
You need lead lists or a contact database. We build on your CRM and your own sources, so a data vendor fits that need better.
Budget under $1,200
Your budget is under $1,200 for the whole project. Your CRM's built-in AI features or a simple sales tool may be enough for now.
Not sure we're the right fit?
Book a free call or message us. We'll tell you honestly whether we're the right team.
Pricing
Transparent Starting Prices for AI Sales Agent Development
These are starting points in USD. Your final price depends on your CRM, your channels, and how much the agent may send alone, and you get a fixed proposal after a free discovery call.
For Agencies
White-Label AI Sales Agent Development for Agencies
You own the client relationship. We supply the agent engineering behind your sales offer: playbooks turned into rules, CRM connections, approval flows, and compliance checks. Your client sees your brand on every report while we work behind the scenes.
How the partnership works
White label: your client only ever sees your brand
Your clientSees only your brand
You, the agencyOwn the relationship
DeveloperLookBehind your brand
Share the playbook
Send the client's CRM, lead sources, and how their best reps qualify leads.
- Client needs
- You share the details
- Details received
We scope the agent
You get a fixed price, the agent's first job, and a launch date.
- Scope and plan
- Proposal to resell
- Your quoteYOUR LOGO
Build and hand off
We launch in approval mode and hand over the code and runbook under your brand.
- Done by our team
- Your brand on it
- Handed to your clientDone
- Your client
- You, the agency
- DeveloperLook
Share the playbook
Send the client's CRM, lead sources, and how their best reps qualify leads.
- Client needs
- You share the details
- Details received
We scope the agent
You get a fixed price, the agent's first job, and a launch date.
- Scope and plan
- Proposal to resell
- Your quoteYOUR LOGO
Build and hand off
We launch in approval mode and hand over the code and runbook under your brand.
- Done by our team
- Your brand on it
- Handed to your clientDone
Partner with DeveloperLookDelivered under your brand
The Right Technology for Your Project
Technology Stack
We connect the agent to the CRM, inbox, and calendar your reps already use, and run it on the language model that scores best on your past leads.
HubSpot
Salesforce- Pipedrive
- Zoho CRM
- Gmail
- Outlook
- Google Calendar
Slack
OpenAI
Anthropic Claude
Google Gemini- Model Context Protocol
Python
TypeScript
Node.js
PostgreSQL
Twilio
01 / 04
Related Services
Pair a sales agent with the MCP layer for your CRM, agents for other workflows, CRM connections, and the funnels that bring leads in.
MCP Server Development
DeveloperLook provides MCP server development for teams that want Claude, ChatGPT, Cursor, or their own agents to use company tools and data. We build custom MCP servers with scoped access, confirmations on write actions, call logs, and tests, then hand over the code.
AI Agent Development Services
DeveloperLook provides AI agent development services for business workflows: agents that qualify leads, read documents, and update your systems, with guardrails, human approval, and tests on your real cases. Custom AI agent development on a fixed scope.
CRM Integration Services
DeveloperLook provides CRM integration services for sales and marketing teams on any CRM. We connect website forms, ad lead forms, marketing tools, QuickBooks, and ERP data, so every lead arrives once, carries its source, and reaches the right owner.This page
AI Sales Agent Development
Pairs with the 6 services around it
Generative AI Development Services
DeveloperLook provides generative AI development services for product and operations teams. We pick the use case, compare models on your own examples, and build the feature into your app with guardrails, cost tracking, and tests you keep.
Sales Funnel Development Services
DeveloperLook provides sales funnel development services for coaches, creators, and service businesses. We map the funnel, then build the pages, lead magnet, follow-up emails, and checkout on your own tools, with tracking on every step so you see where sales funnels lose people.
AI Voice Agent Development
DeveloperLook offers AI voice agent development for support teams and call centers. We script the agent from your real calls, connect it to your CRM, helpdesk, or calendar, and add warm transfers and consent checks so calls end resolved.FAQ
Frequently Asked Questions
Straight answers on cost, CRM data, compliance, and choosing a vendor for AI sales agents.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
Our AI sales agents start at $1,200 for an Inbound Lead Agent that researches, scores, drafts replies, and books meetings. The AI SDR Agent with outbound sequences and auto-send rules is $3,500, and a Sales Agent Team with up to 3 agents starts at $7,900. Model usage and email or calling fees are billed by the providers straight to your accounts.
An inbound lead agent usually goes live in 2 to 3 weeks, and multi-agent setups with outbound and account growth take 5 to 10 weeks. The test on past leads takes about a week and is part of every plan. Launch starts in approval mode, so reps see each message before auto-send widens.
An AI sales agent handles the repetitive parts of selling: researching leads, writing replies, following up, and booking meetings. Unlike a chatbot, it acts through tools connected to your CRM, inbox, and calendar. Some call it an AI sales person, but it works best as support for your reps, inside rules you set, with complex conversations handed to a person.
AI agents help sales teams by taking over the repetitive work around each deal: researching accounts, writing first drafts, logging activity, and chasing follow-ups. That frees reps for calls and negotiation, where people win deals. The quickest gain is speed, because leads get a relevant reply while they are still comparing options. That speed is where AI for sales pays off first.
AI agents boost lead generation by answering every inbound lead quickly and working the accounts your reps can't reach. For outbound, they research accounts and personalize first emails at a higher volume than reps can write by hand. AI sales lead generation still needs your rules: who to contact, how often, and when to stop.
The agent personalizes each message by reading the CRM record before writing: industry, role, deal stage, past emails, call notes, and product usage. The agent refers to what the buyer actually said or did, such as a question from the last call. We limit which fields it can read, so private notes and sensitive accounts stay out of its drafts.
The agent spots upsell and cross-sell moments in data reps rarely watch: usage near a plan limit, a new team joining, or an upcoming renewal. The agent drafts a timely message or alerts the account manager with the context. Your rules decide which offers it may suggest and which accounts need a person first.
AI agents streamline pipeline management by acting on gaps in deal stages: no recent activity, a missed meeting, or a proposal without a reply. They draft the follow-up, update the stage, and log notes, so the pipeline report reflects reality. Your sales manager reviews a weekly summary instead of chasing reps for updates.
Choose a telesales vendor that proves consent handling first: under the FCC's February 2024 ruling, AI-generated voices count as artificial voices under the TCPA. Those calls need the called person's prior express consent. Then check call quality on your real scripts, logging to your CRM, and live transfer to a rep. Ask who owns the recordings and how opt-outs are honored.
MCP, the Model Context Protocol, connects agents to sales data through a server that exposes CRM actions as tools. Typical tools find a contact, read a deal, or log a call. The agent calls those tools instead of holding raw database access, and each call runs with a scoped user's permissions. Our MCP Server Development page covers building one for your CRM.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
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