The whole ecosystem at a glance
NGCI Brain · NextGen Consulting Inc.. One connected brain. See how authorized operational records can connect across one governed workflow.
Operating core: NGOS · Workflows + Automation · NEMS · Governance + Controls. Shared foundation: NGOS + NEMS · Workflow records, approved knowledge and accountable decisions.
AI Platforms
ProposalForge
Capture & Proposal
The GovCon proposal motion end to end — compliance matrix, approved content, AI drafting, color-team review, and human sign-off on a governed corpus.
What it connects
- Opportunity intake and bid / no-bid support
- Compliance tracking and reusable past performance
- Color-team review with human sign-off
9 process nodes
01 Opportunity Intake
Bring the solicitation and its amendments into one opportunity record, with key dates, requirements and an eligible-vs-gap compliance scan.
- Input
- Solicitation and amendments
- Output
- Opportunity record with gap scan
- Human control
- A capture lead confirms the opportunity and its dates.
02 Bid / No-Bid
AI summarises fit, risk, capacity and gaps against the requirements, so leadership can decide before proposal effort is spent.
- Input
- Opportunity record and gap scan
- Output
- Recorded bid / no-bid decision
- Human control
- Leadership makes and records the bid decision.
03 Compliance Matrix
Map solicitation requirements to response sections and track coverage.
- Input
- Solicitation requirements
- Output
- Requirement-to-response matrix
- Human control
- Reviewers resolve missing coverage.
04 Approved Content
Pull reusable past performance and approved content from the governed corpus: only what is cleared and current, scanned for sensitive data first.
- Input
- Governed content library
- Output
- Cleared content set for this bid
- Human control
- Content owners approve what can be reused.
05 Drafting
AI drafts each response section against the compliance matrix, from cleared content only. Every section starts as a draft.
- Input
- Compliance matrix and cleared content
- Output
- Draft volumes
- Human control
- Writers edit and accept every AI-drafted section.
06 Pricing
Build the price volume from the labor model, with price-to-win analysis alongside.
- Input
- Labor categories, rates and assumptions
- Output
- Price volume
- Human control
- The pricing lead approves every number.
07 Color-Team Review
Structured color-team reviews score the draft against the requirements and log every finding until it is closed.
- Input
- Draft volumes and the matrix
- Output
- Scored findings and fixes
- Human control
- Reviewers sign off each color team.
08 Approval
Maker-checker approval of the complete proposal before release: the author cannot approve their own work.
- Input
- Final volumes and price
- Output
- Approved proposal
- Human control
- A second person approves; no one approves their own work.
09 Submission
Assemble the final package, check it against the submission instructions and submit on time; the outcome feeds win/loss lessons.
- Input
- Approved proposal
- Output
- Submitted proposal and record
- Human control
- An authorized person submits.
TalentFlow AI
Talent & Staffing
Recruiting and staffing with skill-graph matching and résumé tailoring — and EEOC-aware dispositions where a recruiter always approves every employment decision.
What it connects
- Job orders and auto-match on open requirements
- Skill-graph matching, résumé tailoring and one-click submittal
- Onboarding, credentials and a redeployment watcher
7 process nodes
01 Staffing pipeline & job orders
Open a job order for every role a contract or client needs, with skills, clearance and start date.
- Input
- Role request
- Output
- Job order
- Human control
- A staffing lead confirms each job order.
02 Auto-match on open requirements
When a requirement opens, suggest people already on file who fit it.
- Input
- Open job order
- Output
- Candidate shortlist
- Human control
- Recruiters review every suggested match.
03 AI talent matching
Semantic and skill-graph matching ranks candidates on skills, clearance and availability.
- Input
- Candidate shortlist
- Output
- Ranked candidates
- Human control
- A recruiter decides who moves forward.
04 Résumé tailoring
Draft a résumé version that answers the role requirements, using only the candidate's real experience.
- Input
- Candidate résumé and role
- Output
- Tailored résumé draft
- Human control
- The candidate and recruiter approve the final version.
05 One-click submittal
Package an approved candidate and tailored résumé for the client in one step.
- Input
- Approved candidate
- Output
- Submittal package
- Human control
- A recruiter sends each submittal.
06 Onboarding & credentialing
Track the paperwork, credentials and clearances a new hire needs, and keep them current.
- Input
- Accepted offer
- Output
- Onboarding checklist
- Human control
- HR confirms every credential before the start date.
07 Redeployment (bench) watcher
Flag people rolling off a project early so they can be placed on the next one.
- Input
- Assignment end dates
- Output
- Redeployment list
- Human control
- Managers decide each next assignment.
Growth Engine
Growth & Revenue
The full commercial demand motion — capture, cadences, deals, quote-to-cash — with deliverability guardrails and attribution, in one connected system.
What it connects
- Demand capture, attribution and inbound speed-to-lead
- Cadences with a human-send queue and deliverability guardrails
- Commercial deal pipeline and quote-to-cash
7 process nodes
01 Demand capture & attribution
Capture every inquiry and record where it came from, so spend follows what works.
- Input
- Inbound inquiry
- Output
- Attributed lead
- Human control
- Marketing owns the attribution rules.
02 Inbound speed-to-lead
Route a new inquiry to the right owner within minutes, with the context drafted.
- Input
- Attributed lead
- Output
- Assigned lead
- Human control
- An owner accepts each lead.
03 Outbound prospecting
Build target lists from the accounts and roles that fit the plan.
- Input
- Target criteria
- Output
- Prospect list
- Human control
- Sales leads approve each list.
04 Sales engagement / cadences
Plan a sequence of touches for each prospect, with AI-drafted messages.
- Input
- Prospect list
- Output
- Cadence plan
- Human control
- An owner approves each cadence.
05 Cadence send-queue (human-send)
Drafted messages wait in a queue with deliverability guardrails; nothing goes out on its own.
- Input
- Cadence plan
- Output
- Messages ready to send
- Human control
- A person reviews and sends every message.
06 Commercial deal pipeline
Track each deal from first meeting to close in one connected record.
- Input
- Qualified opportunity
- Output
- Deal record
- Human control
- Sales leadership reviews the pipeline.
07 Quote-to-cash
Turn an accepted quote into an order and an invoice, with no re-keying.
- Input
- Accepted quote
- Output
- Order and invoice
- Human control
- Finance approves each invoice.
SectorAI
Sector Intelligence
Sector intelligence for complex markets and policy areas — market maps, agency summaries, funding trends, and account planning.
What it connects
- Recompete radar and market maps
- Strategic target planning and relationship scoring
- Win/loss & lessons learned
5 process nodes
01 Recompete radar
Watch for contracts coming up for recompete, well before the solicitation drops.
- Input
- Contract end dates and market data
- Output
- Recompete watch list
- Human control
- Capture leads decide what to pursue.
02 Strategic target planning
Set the agencies, accounts and markets to focus on, with market maps and funding trends.
- Input
- Watch list and priorities
- Output
- Target plan
- Human control
- Leadership approves the plan.
03 Relationship scoring
Score the strength of relationships with each target account.
- Input
- Contact and meeting history
- Output
- Relationship scores
- Human control
- Account owners review the scores.
04 Knowledge graph
Connect people, contracts, agencies and documents in one view.
- Input
- Approved records
- Output
- Connected view
- Human control
- Data owners approve what is included.
05 Win/loss & lessons learned
Capture why each bid was won or lost, so the next proposal starts smarter.
- Input
- Bid outcomes and debriefs
- Output
- Lessons learned
- Human control
- Leads sign off each lesson.
Platform modules
NGCI Router
Cost optimization
Route every task to the right model instead of the most expensive one.
What it connects
- Task-based routing
- Model cost comparison
NGCI Lens
Observability
See model, cost, and quality on every call. Spend by model and task, plus the step-by-step trace of any run.
What it connects
- Spend by model and task
- Step-by-step trace of any run
NGCI Corpus
Governed knowledge
Your AI retrieves only what it is cleared to see. Unapproved, expired, and CUI documents are refused, even when they are the best match.
What it connects
- Retrieval of cleared documents only
- Records & knowledge management
Automation & Action Inbox
Orchestration
Run legitimate data work lights-out, while every decision only a human may make lands in one inbox with its draft prepared, and one switch halts all automated writes.
What it connects
- Automation backbone & connectors
- One inbox for every human decision
- One switch halts automated writes
Governance
NGCI Guard
Trust & governance
Scan every prompt for sensitive data before it reaches a model. PII and CUI are caught and redacted, with the governed controls that gate it.
What it connects
- Sensitive-data scan before any model call
- Market-lane access control
NGCI Gate
Maker-checker
No one approves their own work, enforced as a database rule, not a policy. It lets you hand execution to a wider team without losing control.
What it connects
- A second person on every approval
- Maker-checker document approval
See one opportunity end to end: A federal agency's service-desk RFP
- Lead — A federal agency's service-desk RFP appears, and Growth Engine logs it as a new lead.
- Hand-off — The lead is qualified and handed to ProposalForge.
- Opportunity Intake — The RFP, its dates and its requirements become one opportunity record.
- Bid / No-Bid — AI summarises fit and risk; leadership decides to bid.
- Compliance Matrix — Every requirement is mapped to a response section, and reviewers close the gaps.
- Approved Content — NGCI Guard scans reused past performance for sensitive data before any model sees it.
- Drafting — NGCI Router picks a model for each drafting task and records what it cost.
- Pricing — The price volume is built from the labor model, and the pricing lead signs off.
- Color-Team Review — Reviewers score the draft against the requirements and sign off each color team.
- Approval — NGCI Gate requires a second person: the author cannot approve their own proposal.
- Submission — An authorized person submits the proposal on time.
- Award — Award: the agency selects the proposal, and the contract is set up in NGOS.
- Staffing — TalentFlow AI matches people to the service-desk roles; a recruiter confirms every submittal.
- Timesheet · hours — Delivery runs in NGOS. A timesheet is approved in two parts: first a supervisor approves the hours.
- Timesheet · charges — Then a second approver confirms the charges, and the record locks.
- Invoice — The invoice is drafted from approved work only and waits in the Action Inbox.
- Payment — Payment is released only after two different people approve it.
- Request a Demo — AI drafted at every step. A person owned every consequential decision.
Illustrative demo. No operational records are connected.
AI inside controls, not outside them. NGOS + NEMS. Illustrative demo. No operational records are connected.. Request a Demo