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DeltaPoint Partners AI

Intelligence that works across your business.

We design and deploy AI agents that understand how your operation runs, work across the systems you already have, and take the repetitive coordination off your team.

Get in touchSee how it works

Built around your business. Governed by your people. Connected to the systems you already use.

A diagram of the DeltaPoint AI operating layer. Eight source systems feed a central operating layer. Specialized agents for revenue, operations, and finance work above it, and their output rolls up into executive intelligence.
Executive intelligence. Surfaces the decisions, risks, opportunities, and exceptions that need leadership attention.
Revenue. Finds the work worth chasing and keeps it from stalling.
Lead Agent. Answers inbound demand immediately and qualifies it against real fit.
Lead Agent
Quote Agent. Compares requirements, historical work, pricing, and margin exposure.
Quote Agent
CRM Agent. Keeps the record current without anyone retyping it.
CRM Agent
Operations. Watches the work in flight and surfaces only what needs a decision.
Project Agent. Tracks deliverables, dependencies, documents, and owners.
Project Agent
Service Agent. Turns a customer message into scheduled, structured work.
Service Agent
Quality Agent. Finds missing records and deviations before an auditor does.
Quality Agent
Finance. Protects margin and cash while the job can still be changed.
Margin Agent. Flags quotes and jobs where cost movement threatens profit.
Margin Agent
AR Agent. Prioritizes overdue receivables and prepares approved follow-up.
AR Agent
Cash Agent. Projects upcoming cash requirements and forming constraints.
Cash Agent
DeltaPoint AI. Reads across every connected system, holds the company context, and routes work to the right agent.
CRM. Customer relationships, opportunities, activity, and correspondence.
CRM
ERP. Jobs, costs, inventory, purchasing, and what work actually consumed.
ERP
Email. The commitments and context that never reach a system of record.
Email
Files. Drawings, specifications, contracts, and the documents behind them.
Files
Projects. Schedules, deliverables, dependencies, and who owes what.
Projects
Accounting. Invoices, receivables, payables, and realized margin.
Accounting
Databases. The internal records your own systems were built around.
Databases
Customers. History, preferences, prior work, and how each account behaves.
Customers

01The missing layer

Your company has software. What it lacks is a layer that understands all of it.

  • CRM
  • Email
  • ERP
  • Spreadsheets
  • Documents
  • Accounting
  • Project tools
  • Databases
  • People
DeltaPoint AI

Information already exists everywhere inside a business. The problem is rarely missing data.

The problem is that context, decisions, and workflows stay fragmented across systems and the people who happen to know things. Nobody sees the whole picture, so nobody acts on it in time.

DeltaPoint builds the intelligence between them.

02How it works

AI becomes powerful when it can act.

Answering a question is the smallest part of the job. These are the seven things an agent has to do before it can move real work forward.

  1. 01

    Understand

    Read the project, customer, history, and requirements.

  2. 02

    Monitor

    Detect something that changed.

  3. 03

    Recommend

    Determine what should happen next.

  4. 04

    Prepare

    Create the required work.

  5. 05

    Execute

    Perform an authorized action.

  6. 06

    Audit

    Record what happened and why.

  7. 07

    Improve

    Learn from human corrections and results.

03Live workflow

From signal to action.

An RFQ arrives. Four specialized agents read it, price it, check it against today’s supplier costs, and find the exposure. Then they stop and wait for a person.

  1. Inbound

    Signal

  2. Intake Agent

    Understand

  3. Knowledge Agent

    Compare

  4. Quote Agent

    Prepare

  5. Margin Agent

    Monitor

  6. Approval

    Human

  7. Systems

    Execute

Work itemRFQ-2291

Beckwith Controls

Line 3 filler integration

Awaiting inbound signal

Event log0 of 13
  1. Listening

Recommendation

$184,200$203,600

Every action beyond this point requires a person.

Quote updated
Proposal created
CRM updated
Account owner notified
Follow-up scheduled

One signal. Multiple agents. One coordinated workflow.

Illustrative example. Figures do not represent client data.

Workflow running.

04Command center

What if you could ask your entire business?

Not a chatbot guessing from a document. A question answered from the systems that actually run the company, with the evidence and the sources attached.

What happened yesterday that I need to know about? 

Ask about

12 items require attention

Revenue
4 proposals stalled
Operations
2 projects at milestone risk
Finance
$81,450 overdue
Customers
2 high-risk accounts

Read from

  • CRM
  • ERP
  • Projects
  • Accounting
  • Email

Cleared without you

476

events resolved by agents without reaching a person.

Next step

Prepare owner briefs for the four stalled proposals

Awaiting approval

Illustrative interface. Figures do not represent client data.

05Business functions

Intelligence across the entire organization.

Agents are specialists. Each works in one function, from shared company context, with only the access that function is entitled to.

Leadership sees what changed across the whole company without asking anyone to assemble it.

  • Executive Command Agent

    Surfaces the risks, decisions, and opportunities that need leadership attention.

  • Morning Intelligence Brief

    Summarizes material change across revenue, operations, projects, and cash.

  • Decision Support Agent

    Assembles the evidence behind a major decision into one recommendation.

  • Strategic Monitoring Agent

    Monitors the markets, accounts, and measures tied to the current plan and reports what moved.

  • Business Performance Agent

    Explains why a number moved, not just that it moved.

  • Meeting Preparation Agent

    Prepares a brief before each meeting with the history, open commitments, and figures that will come up.

  • Exception Management Agent

    Filters routine activity so managers see only what needs a decision.

  • Board Reporting Agent

    Assembles board reporting from the operating record and flags what will need explaining.

Requires your attentionAgent output
  • Proposal #1048 margin exposureProjected margin 22.7% against 31.2% target
  • Project 1042 milestone riskControls engineering tracking 22% over estimate
  • Northwind account coolingNo contact in 19 days after a pricing objection
  • Receivables past 60 days$81,450 across four accounts

Illustrative interface. Figures do not represent client data.

06Industries

Built around the way your industry actually operates.

One operating layer. A different order of work beneath it.

25sectors mapped

Sector

Manufacturing

Margin leaks between the quote and the shop floor, where missed scope, supplier prices that moved since the estimate, and rework nobody costed never make it back into the number.

How the work runs

  1. Lead
  2. RFQ
  3. Quote
  4. Engineering
  5. Procurement
  6. Production
  7. FAT
  8. Install
  9. Service
DeltaPoint AIreading · monitoring · preparing · escalating

Example agents

15

  • RFQ Agent
  • Quote Agent
  • Quote Audit Agent
  • Engineering Knowledge Agent
  • Historical Project Agent
  • BOM Audit Agent
  • Supplier Pricing Agent
  • Production Support Agent
  • Maintenance Agent
  • Quality Agent
  • FAT Agent
  • Project Agent
  • Margin Agent
  • Service Agent
  • Documentation Agent

What a leader here asks

  • How close were our quoted hours to the hours these jobs actually took, by job type?
  • What did engineering changes cost us on the last few builds, and how much of that was rework we never charged for?
  • Which supplier prices and lead times have moved since we priced the quotes still sitting with customers?

07Connected systems

Nothing gets ripped out. Agents work across the software your business already runs on.

  • CRM
  • ERP
  • Accounting
  • Email
  • Calendar
  • Documents
  • Project management
  • Databases
  • Customer portals
  • Field systems
  • Internal software
  • DeltaPoint AI

Agents read what is already there, work inside the permissions your people set, and write back only where they have been authorized to.

08Operating capacity

Same business. Different operating capacity.

One quote, today

8 steps

  1. 01Employee checks email
  2. 02Finds the spreadsheet
  3. 03Searches for the old quote
  4. 04Calls engineering
  5. 05Checks supplier pricing
  6. 06Updates the CRM
  7. 07Creates the proposal
  8. 08Sets a reminder to follow up

Every step is a person switching context, and every switch is a chance for something to be missed.

The same quote, with agents

4 steps

  1. 01New RFQ arrives
  2. 02Agents coordinate the analysis
  3. 03A person reviews the recommendation
  4. 04Approved work executes

The person still decides. They just stop doing the assembly work that led up to the decision.

  • Less searching
  • Less rekeying
  • Faster response
  • Better visibility
  • More consistency

09Human control

Intelligence with accountability.

Agents do not arrive autonomous. Your people decide what an agent may do on its own, and that permission widens only after the system has earned it.

At this level

The agent reads and analyzes. It changes nothing.

Granted to the agent2 of 6

4 capabilities still require a human decision.

Agent permissions

at level 1

  • Read CRM recordsAllowed
  • Read project and job historyAllowed
  • Search documents and drawingsAllowed
  • Prepare a quoteApproval required
  • Draft customer correspondenceApproval required
  • Modify a quoteApproval required
  • Send a quote to a customerApproval required
  • Commit a purchase orderApproval required
  • Delete a customer recordBlocked
  • Change pricing rulesBlocked

Blocked actions stay blocked at every level. Raising autonomy never unlocks them.

Agent recommendation

$184,200$203,600

Supplier pricing changed 14.2% since this quote was priced.

  • Motor package repriced 8 days ago
  • Comparable job 1039 ran 12% over on the same package
  • Customer scope unchanged since revision B

Result

Nothing has happened yet. The agent has prepared the work and stopped. Choose an outcome to see what follows.

Illustrative recommendation. Figures do not represent client data.

10Evidence

Every important action should be explainable.

Not a confidence score. The actual documents the agent read, the version that read them, and the person who approved the result.

Action

Quote revised

Agent
Quote Auditor v3.2
Why
Supplier cost changed 11.4% after this quote was priced.
Impact
Projected margin restored to the 31.2% target.
Approval
Approved by the Sales Manager, 27 Aug

Sources read

  • Motor package, frame 180L — list price revised from $4,120 to $4,590 effective immediately. Prior list issued 41 days earlier.

Illustrative record. Not client data.

11Organizational memory

Stop losing the company when people leave.

The most valuable thing in most businesses is thirty years of judgment held by four or five people, none of it written down.

What the company already holds

  • Completed projects
  • Drawings and revisions
  • Failure reports
  • Estimator corrections
  • Customer correspondence
  • Engineering standards

None of this is missing. It is simply not searchable by anyone who was not there at the time.

New engineer, week two

“Why do we use this component on this system?”

Today this question costs a senior engineer twenty minutes.

Illustrative example. Not client data.

12Operational memory

Turn experience into institutional intelligence.

When an estimator overrides a number, they are applying years of judgment. Today that reasoning disappears into a spreadsheet cell. It should become something the company keeps.

When employees correct the system, that knowledge can become part of the company’s operational memory — available to everyone, including the people who join next year.

Controls engineering estimateJob 1042
80 hours115 hoursChanged by a person

Why?

Pick a reason to see what the company does with it.

Illustrative example. Figures do not represent client data.

13Operating value

AI should show up in the operating numbers.

Capacity, cycle time, revenue, margin, risk, customer experience. If a deployment cannot be measured in those terms, it was the wrong thing to build.

Hours returned

Administrative time given back to the team

Customer response time

Time from inquiry to first substantive reply

Opportunities recovered

Stalled deals re-engaged before they closed out

Margin protected

Exposure caught before work was committed

Tasks automated

Repetitive steps removed from people's days

Measured value

Platform cost

Estimated return

Illustrative example of a measurement dashboard. These figures are not DeltaPoint client results.

14How we deploy

Start where the economics make sense.

We do not start with what is technically interesting. We start with what creates measurable business value, and expand from there.

  1. 01

    Discover

    Map where the operation actually loses time, margin, knowledge, and opportunity.

    • Workflows and labor
    • Systems and data
    • Bottlenecks and rework
    • Margin leakage
    • Operational risk
    • Knowledge concentration

  2. 02

    Prioritize

    Score candidate work on business value, not technical novelty.

    AI opportunity matrixIllustrative
    Business impact
    Start here

    Implementation complexity

    1. Quote auditimpact 94 · complexity 32
    2. Lead follow-upimpact 91 · complexity 24
    3. Project reportingimpact 87 · complexity 46
    4. AR follow-upimpact 84 · complexity 28

    Scored on frequency, labor cost, repeatability, data availability, cost of error, revenue and customer impact, complexity, and risk.

  3. 03

    Deploy

    Put targeted agents against measurable operational problems.

    • Connect the relevant systems
    • Encode your rules and terminology
    • Set permissions and approvals
    • Measure against a baseline

  4. 04

    Expand

    Widen capability and autonomy only as the system proves itself.

    • Add adjacent workflows
    • Raise autonomy where reliability is demonstrated
    • Connect agents into a shared operating layer

15The future state

Imagine an organization that can see itself.

Not one assistant answering one person. Dozens of processes running at once, most of them finishing quietly, and the handful that need judgment arriving in a single place.

Running now0 processes

  • Lead Response Agent

    Customer inquiry arrives

    Qualified and routed

    Handled

  • RFQ Agent

    RFQ received

    43 requirements structured

    Handled

  • Quote Agent

    Estimate requested

    Preliminary estimate built

    Handled

  • Margin Agent

    Vendor price changed

    Exposure identified on 6 quotes

    Escalated to a person

  • Project Risk Agent

    Milestone slipped

    Operations alerted with cause

    Escalated to a person

  • AR Agent

    Invoice passed 60 days

    Approved follow-up sent

    Handled

  • Customer Health Agent

    Negative message detected

    Escalated with full context

    Escalated to a person

  • Scheduling Agent

    Service window requested

    Appointment confirmed

    Handled

  • AP Agent

    Invoice fails PO match

    Held for review

    Handled

  • Quality Agent

    Record unsigned

    Flagged before audit

    Handled

Executive command

Good morning

—

items require attention

  • revenue opportunities4
  • margin risks2
  • project risks3
  • customer issues2
  • decisions awaiting approval3

— other events were handled without leadership intervention.

Illustrative interface. Figures do not represent client data.

16The wider practice

AI is one of four things we do.

DeltaPoint engages audit-first, never tool-first. We do not resell software or take referral fees from vendors, so a recommendation carries no product incentive.

  1. 01 / 04

    Operations & Delivery Acceleration

    Compresses the cycle between customer demand and a confident commitment — quoting, capacity, and project visibility.

  2. 02 / 04

    Revenue Systems

    Closes the gap between selling activity and predictable revenue, with pipeline stages tied to evidence rather than optimism.

    The output is a working revenue system, not a CRM implementation.

  3. 03 / 04

    Data & Integration

    Gives leadership decision visibility without manual assembly, by integrating the ERP, CRM, scheduling, and accounting systems already in place.

    We integrate what exists rather than proposing replacement.

  4. 04 / 04

    AI & Automation Opportunity Assessment

    Everything above this line

    Treats AI as a lever rather than a starting point, and scores where it would actually pay.

    The honest output frequently includes: do not build AI here.

What the firm covers

An engagement draws on whichever of these it needs. Most start somewhere other than AI.

  • AI & Automation
  • Business Strategy
  • Growth Strategy
  • Business Development
  • Strategic Partnerships
  • Go-to-Market Strategy
  • Sales Strategy
  • Lead Generation & Outreach
  • Sales & Marketing
  • Operations & Efficiency
  • Finance & Fractional CFO
  • Executive & Fractional Leadership
  • HR, Staffing & Recruiting
  • Technology & Systems Engineering
  • Cybersecurity & Compliance
  • Leadership & Organizational Development
  • Procurement & Supplier Development

Start somewhere smaller

Not ready for a conversation yet? These are DeltaPoint’s own, and they cost nothing.

DeltaPoint Partners

Your business already generates the signals.

DeltaPoint turns them into intelligence and action.

Most of what a business needs to know already exists somewhere in its own systems. It just never reaches the person who could act on it in time. Start wherever that costs you the most.

Get in touchMeet the team

Start with the operation · Find the friction · Deploy intelligence · Measure the result